47th week of 2021 patent applcation highlights part 49 |
Patent application number | Title | Published |
20210365652 | VIRTUAL MULTI-DIMENSIONAL QUICK RESPONSE CODES - Described are methods and systems for Virtual Multi-Dimensional Quick Response (VMDQR) codes, used for transferring data sets between code initialization devices and code retrieval devices, such as smartphones and other like devices. A VMDQR code is capable of encoding and sharing large amounts of data, regardless of the space available on an object. The amount of the encoded data depends on the dimensionality of the VMDQR code. A VMDQR code is incorporated into an augmented image, presented on a user interface of a code retrieval device. For example, an image of a real object, which does not have any physical codes, is augmented by adding a VMDQR code to give a representation of an object with a code. The VMDQR code is then scanned from the user interface using a scanner to transfer the encoded data to the scanner. | 2021-11-25 |
20210365653 | ELECTRONIC TAG AND CONTROL METHOD THEREOF, SYSTEM INCLUDING ELECTRONIC TAG AND CONTROL METHOD THEREOF - The present disclosure generally relates to the field of electronic tagging technology. An electronic tag may include a scanner configured to scan an article identification information associated with one of a plurality of categories of articles; a controller configured to acquire the article identification information from the scanner; a communicator configured to, based on a pairing of the article identification information with an identification information associated with the electronic tag, acquire a product information corresponding to the article identification information; a storage unit configured to store the identification information associated with the electronic tag; and a display screen configured to display the product information corresponding to the article identification information. | 2021-11-25 |
20210365654 | METHOD AND ELECTRONIC DEVICE FOR READING BARCODE - Provided is a method, performed by an electronic device, of reading a barcode, the method including obtaining an image by capturing an image of the barcode, determining a plurality of lines that cover a part of the barcode from the image, obtaining information about a distortion level of the barcode in a region adjacent to each of the plurality of lines, determining at least one line for reading the barcode from among the plurality of lines, based on the obtained information, and reading the barcode based on the determined at least one line. | 2021-11-25 |
20210365655 | ULTRASONIC FINGERPRINT IDENTIFICATION COMPONENT, FINGERPRINT IDENTIFICATION DEVICE AND FINGERPRINT IDENTIFICATION DRIVING METHOD - There is provided an ultrasonic fingerprint identification component, including an ultrasonic fingerprint identification circuit, which includes a detection circuit and a source follower circuit, and a current supply circuit, where an output terminal of the source follower circuit is coupled to the current supply circuit through a signal reading line; the current supply circuit is configured to provide a constant current to the output terminal of the source follower circuit during an operation of the ultrasonic fingerprint identification circuit; the detection circuit is coupled to a receiving electrode of an ultrasonic sensor and is configured to output a sensing voltage to a sampling node according to an electric signal output by the receiving electrode of the ultrasonic sensor; and the source follower circuit is configured to output a corresponding source follower voltage to the signal reading line according to the sensing voltage under control of the constant current. | 2021-11-25 |
20210365656 | FINGERPRINT IDENTIFICATION MODULE, FINGERPRINT IDENTIFICATION METHOD, AND DISPLAY APPARATUS - A fingerprint identification module may include an array substrate ( | 2021-11-25 |
20210365657 | FINGERPRINT RECOGNITION SUBSTRATE, FINGERPRINT RECOGNITION APPARATUS AND METHOD FOR FABRICATING THE SAME, FINGERPRINT RECOGNITION METHOD, AND DISPLAY DEVICE - A fingerprint recognition substrate, a fingerprint recognition apparatus, a manufacturing method thereof, a fingerprint recognition method, and a display device are provided. The fingerprint recognition substrate includes a base substrate including a plurality of pixel regions and a region between the plurality of pixel regions, a first electrode in the plurality of pixel regions, a light emitting layer at least in the plurality of pixel regions, and a second electrode at least in the plurality of pixel regions, and at least a plurality of light transmission holes penetrating the first electrode. At least one light transmission hole is in the region between the plurality of pixel regions, and the plurality of light transmission holes are configured to be optically coupled to a photosensor. | 2021-11-25 |
20210365658 | DISPLAY DEVICE AND FABRICATING METHOD THEREOF - A display device and a fabricating method thereof are provided. The display device has a display panel and an optical fingerprint recognition sensor. The display panel has a transparent organic material layer, a barrier layer, a buffer layer, and an array substrate sequentially stacked and disposed from bottom to top. A surface of the transparent organic material layer opposite to the barrier layer is a back surface of the transparent organic material layer. The optical fingerprint recognition sensor is disposed on the back surface of the transparent organic material layer. | 2021-11-25 |
20210365659 | INTEGRATED PHOTO-SENSING DETECTION DISPLAY APPARATUS AND METHOD OF FABRICATING INTEGRATED PHOTO-SENSING DETECTION DISPLAY APPARATUS - An integrated photo-sensing detection display substrate having a subpixel region and an inter-subpixel region. The integrated photo-sensing detection display substrate includes a base substrate; a plurality of light emitting elements on the base substrate and configured to emit light, a portion of the light being totally reflected by a surface thereby forming totally reflected light; a light shielding layer between the plurality of light, emitting elements and the base substrate configured to block at least a portion of diffusedly reflected light from passing through, the light shielding layer having a light path aperture in the inter-subpixel region allowing at least a portion of the totally reflected light to pass through thereby forming a signal-enriched light beam; a diffraction grating layer configured to at least partially collimate the signal-enriched light beam thereby forming a collimated light beam; and a photosensor configured to detect the collimated light beam. | 2021-11-25 |
20210365660 | OPTICAL FINGERPRINT SENSING DEVICE AND OPTICAL FINGERPRINT SENSING METHOD - An optical fingerprint sensing device includes optical sensing pixels, optical blocked pixels and a readout circuit. Each of the optical sensing pixels includes a first photodevice for sensing an illumination through an optical path. The optical sensing pixels are configured to generate sensing signals. Each of the optical blocked pixels includes a second photodevice blocked from the illumination. The optical sensing pixels are configured to generate a plurality of tracking signals. The readout circuit is configured to generate output signals according to differences between the sensing signals and the tracking signals. | 2021-11-25 |
20210365661 | FINGERPRINT SENSING METHOD, FINGERPRINT SENSOR, AND DISPLAY DEVICE INCLUDING THE SAME - A fingerprint sensor includes a substrate, a light blocking layer that is on a first surface of the substrate and includes openings in a light blocking mask, and a sensor layer that is on a second surface of the substrate and includes photo sensors. A fingerprint sensing method of the fingerprint sensor includes: storing a calibration image; generating an original image, based on sensing signals from the photo sensors; performing calibration on the original image by utilizing the calibration image; and detecting a fingerprint, based on the calibrated image. The calibration image is generated by synthetizing valid regions extracted from an original calibration image corresponding to the original image. | 2021-11-25 |
20210365662 | FINGERPRINT RECOGNITION METHOD AND ELECTRONIC INTERACTIVE APPARATUS THEREOF - A fingerprint recognition method is provided. The method includes obtaining a plurality of fingerprint images by sensing a finger of a user, respectively calculating geometric center points corresponding to the fingerprint images, and calculating positions and offsets of the fingerprint images according to the geometric center points. The method also includes filling signals in the fingerprint images into a part of pixels in a pixel array according to the positions and the offsets of the fingerprint images, and obtaining signals of other pixels in the pixel array by inputting the signals filled in the part of pixels in the pixel array into an artificial intelligence engine. The method further includes generating a candidate fingerprint image and recognizing a user based on the candidate fingerprint image. | 2021-11-25 |
20210365663 | SYSTEM AND METHOD FOR VIDEO-BASED PIG COUNTING IN THE CROWD - A method and a system for counting pigs in a pig house. The system includes a computing device and an imaging device. The computing device has a processor and a storage device storing computer executable code. The computer executable code is configured to: receive images captured from one end to the other end of the house; detect keypoints in the images using a neural network; identify pig skeletons by associating several related keypoints; track the skeletons in the images to obtain trajectories; divide each image into an activated zone and a deactivated zone; designate a spatial value of 0 for the skeletons in the activated zone and a spatial value of 1 for the skeletons in the deactivated zone; summating first order difference of the spatial values for each trajectory to obtain a trajectory count; and add the trajectory counts to obtain pig count. | 2021-11-25 |
20210365664 | WEARABLE DEVICE AND METHOD FOR ESTIMATING BIO-INFORMATION - A wearable device may include a main body, a sensor formed on a stem disposed on a side of the main body, and configured to acquire a partial fingerprint image of a finger of a user based on the finger being in contact with the sensor, and a processor configured to control a display to guide the user based on the acquired partial fingerprint image and a full fingerprint image of the finger to permit a measurement site of the finger to contact the sensor. | 2021-11-25 |
20210365665 | INTERFACE DISPLAY METHOD AND ELECTRONIC DEVICE - An interface display method and an electronic device are provided. The interface display method comprises steps of: during processing an interface display request of an application program, determining whether the interface display request meets a preset condition or not ( | 2021-11-25 |
20210365666 | APPARATUS WITH FAKE FINGERPRINT DETECTION AND METHOD WITH UPDATING OF MODEL TO PREVENT FAKE FINGERPRINT - A processor-implemented method includes: obtaining an input embedding vector corresponding to an input fingerprint image for authentication; determining a confidence value of the input embedding vector based on fingerprint data of an initial model including either one or both of a trained real fingerprint determination model and a trained fake fingerprint determination model that are provided in advance; and updating the initial model based on the input embedding vector, in response to the confidence value being greater than or equal to a first threshold. | 2021-11-25 |
20210365667 | IN-VITRO METHOD FOR DETERMINING A CELL TYPE OF A WHITE BLOOD CELL WITHOUT LABELING - The invention relates to an in-vitro method for determining a cell type of a white blood cell in a biological sample without labeling, wherein a microscopy apparatus images the cell and physical parameters of the cell are ascertained from the image of the cell by means of an automated image analysis, wherein the cell type of the white blood cell is determined on the basis of the physical parameters and on the basis of principal component analysis parameters (PCA parameters), wherein the principal component analysis parameters comprise linear combinations of at least some of the physical parameters. | 2021-11-25 |
20210365668 | IMAGE ANALYSIS METHOD, APPARATUS, NON-TRANSITORY COMPUTER READABLE MEDIUM, AND DEEP LEARNING ALGORITHM GENERATION METHOD - Disclosed is an image analysis method including inputting analysis data, including information regarding an analysis target cell to a deep learning algorithm having a neural network structure, and analyzing an image by calculating, by use of the deep learning algorithm, a probability that the analysis target cell belongs to each of morphology classifications of a plurality of cells belonging to a predetermined cell group. | 2021-11-25 |
20210365669 | SIGNATURE VERIFICATION APPARATUS, SYSTEM, METHOD, AND PROGRAM - Disclosed herein is a signature verification apparatus including a first verification circuitry verifying a user's signature by comparing dynamic signature data indicating a change of a user's writing state over time during signing of his or her name by the user and reference data for dynamic signature, a second verification circuitry verifying the user's signature by comparing static signature data indicating a writing path during signing of his or her name by the user and reference data for static signature, and a data registration circuitry registering the reference data for dynamic signature and register the reference data for static signature. In a case where the reference data for static signature has yet to be registered by the data registration circuitry, the second verification circuitry verifies the user's signature by regarding static signature data generated from the reference data for dynamic signature already registered as the reference data for static signature. | 2021-11-25 |
20210365670 | VIDEO AND STILL IMAGE DATA ALTERATION TO ENHANCE PRIVACY - A computer alters at least one recognizable metric or text in a digitally encoded photographic image by operating an alteration algorithm in response to user input data while preserving an overall aesthetic quality of the image and obscuring an identity of at least one individual or geographic location appearing in the image. An altered digitally-encoded photographic image prepared by the altering of the at least one recognizable metric or text in the image is stored in a computer memory. User feedback and/or automatic analysis may be performed to define parameter values of the alteration algorithm such that the alteration process achieves preservation of aesthetic qualities while obscuring an identity of interest. | 2021-11-25 |
20210365671 | INFORMATION HANDLING SYSTEM PARTIAL SPECTRUM CAMERA SHUTTER - An information handling system camera is secured against unauthorized image captures by a shutter that mechanically closes across the camera lens to block visible light from entering the camera. The shutter integrates an infrared bypass filter that passes through infrared light while blocking visible light so that the camera can support facial recognition when the mechanical shutter secures the camera to prevent unauthorized capture of visual images. | 2021-11-25 |
20210365672 | Face Image Detection Method and Terminal Device - A face image detection method includes: recognizing facial features of a face image, and determining two pupil centers of the face image; connecting the two pupil centers, and determining a center point of a line segment whose endpoints are the two pupil centers; and selecting K columns of pixels from a local image region including the center point, calculating a gradient value of each pixel in each column of pixels, and generating K gradient vectors including gradient values of all columns of pixels, determining, based on a result of comparing the K gradient vectors with a specified threshold, whether glasses are worn on the face image. | 2021-11-25 |
20210365673 | METHOD AND APPARATUS FOR DISCREET PERSON IDENTIFICATION ON POCKET-SIZE OFFLINE MOBILE PLATFORM WITH AUGMENTED REALITY FEEDBACK WITH REAL-TIME TRAINING CAPABILITY FOR USAGE BY UNIVERSAL USERS - Embodiments may provide improved techniques and devices for person identification that are discreet, offline, that can be trained in real-time and are physically small to provide the comfortable and convenient use in everyday situations. For example, in an embodiment, a system may comprise a wearable device comprising a visual display, an audio output device, and at least one sensor, a computer system comprising a processor, memory accessible by the processor, and computer program instructions stored in the memory and executable by the processor, receiving, from at least one sensor, data captured by the sensor, identifying a person based on the data captured by the sensor using a trained machine learning model, and indicating an identity of the person using at least one of the visual display and the audio output device. A person is also identified using fusion data recognition of sensor data fusion of at least two types of sensor data. System can perform person identification in total darkness using appropriate senor data identification. The system can train an un-trained machine learning model in real-time upon user request and/or command using the data collected by the sensors. | 2021-11-25 |
20210365674 | SYSTEM AND METHOD FOR SMART MONITORING OF HUMAN BEHAVIOR AND ANOMALY DETECTION - A new approach is proposed that contemplates systems and methods to monitor the premises, e.g., home, office facility, manufacturing floor, healthcare facility, nursing home, etc., to detect an abnormal activity, e.g., fire, smoke, flood, intrusion, fall, stroke, etc., in a smart fashion by leveraging machine learning (ML) model. The method includes receiving a data stream from an input device at a monitored location. The data stream is processed to determine a pose and a position of a person at the monitored location. It is determined whether an abnormal activity has occurred based on the pose and the position of the person. A message is transmitted to a user in response to the determining. | 2021-11-25 |
20210365675 | METHOD, APPARATUS AND DEVICE FOR IDENTIFYING BODY REPRESENTATION INFORMATION IN IMAGE, AND COMPUTER READABLE STORAGE MEDIUM - A method for identifying body representation information in an image, includes: determining a skeleton-like line of a body in the image; and then performing identification of the body representation information according to the skeleton-like line. An apparatus, and a device for identifying body representation information in an image and a storage medium are also provided. | 2021-11-25 |
20210365676 | Real-Time Data Item Prediction - Some embodiments provide a method that predicts data items from a real-world object in real-time. The method captures a video comprising a plurality of frames. The method further performs object detection on a frame in the plurality of frames to determine that the frame includes an object. The method also processes the frame using a plurality of models, wherein each model in the plurality of models is configured to predict a set of candidate data items associated with the object. The method selects one or more candidate data items from the sets of candidate data items associated with the object as a set of data items. The method populates a record with the set of data items. | 2021-11-25 |
20210365677 | TEXT RECOGNITION FOR A NEURAL NETWORK - Image data having text associated with a plurality of text-field types is received, the image data including target image data and context image data. The target image data including target text associated with a text-field type. The context image data providing a context for the target image data. A trained neural network that is constrained to a set of characters for the text-field type is applied to the image data. The trained neural network identifies the target text of the text-field type using a vector embedding that is based on learned patterns for recognizing the context provided by the context image data. One or more predicted characters are provided for the target text of the text-field type in response to identifying the target text using the trained neural network. | 2021-11-25 |
20210365678 | APPARATUS AND METHODS FOR EXTRACTING DATA FROM LINELESS TABLE USING DELAUNAY TRIANGULATION AND EXCESS EDGE REMOVAL - A method for extracting data from lineless tables includes storing an image including a table in a memory. A processor operably coupled to the memory identifies a plurality of text-based characters in the image, and defines multiple bounding boxes based on the characters. Each of the bounding boxes is uniquely associated with at least one of the text-based characters. A graph including multiple nodes and multiple edges is generated based on the bounding boxes, using a graph construction algorithm. At least one of the edges is identified for removal from the graph, and removed from the graph to produce a reduced graph. The reduced graph can be sent to a neural network to predict row labels and column labels for the table. | 2021-11-25 |
20210365679 | SYSTEMS, METHODS AND COMPUTER PROGRAM PRODUCTS FOR AUTOMATICALLY EXTRACTING INFORMATION FROM A FLOWCHART IMAGE - A method of extracting information from a flowchart image comprising a plurality of closed-shaped data nodes having text enclosed within, connecting lines connecting the plurality of closed-shaped data nodes and free text adjacent to the connecting lines includes receiving the flowchart image, detecting the closed-shaped data nodes, localizing the text enclosed within the closed-shaped data nodes, and masking the localized text.to generate an annotated image. Lines in the annotated image are the detected to reconstruct them as closed-shaped data nodes and connecting lines. A tree frame with the plurality of closed-shaped data nodes and the connecting lines is extracted. The free text is then localized. Chunks of the free text oriented and positioned proximally together are assembled into text blocks using an orientation-based two-dimensional clustering. | 2021-11-25 |
20210365680 | SYSTEMS AND METHODS FOR DETERMINING TRAILER STATUS - A system and method include receiving sensor data from a trailer, determining a current status of the trailer based on the sensor data, the current status including a location of the trailer and whether the trailer is empty or loaded, updating the current status of the trailer based upon at least one of an order information or user input, and making the updated status of the trailer available to a user via a user interface. | 2021-11-25 |
20210365681 | SYSTEM AND METHOD FOR SPATIALLY MAPPING SMART OBJECTS WITHIN AUGMENTED REALITY SCENES - A method and system for localizing a plurality of stationary devices, such as Internet of Things (IoT devices), arranged in an environment is disclosed. A mobile device is configured to survey an environment to generate a three-dimensional map of the environment using simultaneous localization and mapping (SLAM) techniques. The mobile device and the stationary devices are equipped with wireless transceivers, such as Ultra-wideband radios, for measuring distances between the devices using wireless ranging techniques. Based on the measured distances, the mobile device is configured to determine locations of the stationary devices in a reference frame of the three-dimensional map. In some embodiments, the determined locations can be used to enable a variety of spatially aware augmented reality features and interactions between the mobile device and the stationary device. | 2021-11-25 |
20210365682 | SYSTEMS AND METHODS FOR ALIGNING MAP DATA - Systems, methods, and non-transitory computer-readable media can receive a geometric map and a semantic map associated with a geographic area, the semantic map comprising semantic data associated with vehicle navigation. A first semantic position estimate associated with a first piece of semantic data contained in the semantic map is generated based on semantic data location information associated with the first piece of semantic data. A final position for the first semantic position estimate is received. One or more three-dimensional semantic labels are applied to the geometric map based on the final position of the first semantic position estimate. A warped semantic map is generated. Generating the warped semantic map comprises warping the semantic map based on the one or more three-dimensional semantic labels. | 2021-11-25 |
20210365683 | IMAGE PROCESSING BASED ADVISORY SYSTEM AND A METHOD THEREOF - The present disclosure relates to the field of image processing and discloses an agricultural advisory system ( | 2021-11-25 |
20210365684 | Sensor Based Semantic Object Generation - Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications. | 2021-11-25 |
20210365685 | HAZARD RECOGNITION - Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions. | 2021-11-25 |
20210365686 | SCENE CLASSIFICATION - An exemplary process for identifying a type of a physical environment amongst a plurality of types of physical environments is provided. The process includes obtaining, using the one or more cameras, image data corresponding to a physical environment. The process further includes identifying at least one portion of an entity in the physical environment based on the image data; determining, based on the identified at least one portion of the entity, whether the entity is an entity of a first type; determining a type of the physical environment if the entity is an entity of the first type; and presenting one or more virtual objects and a representation of the entity. | 2021-11-25 |
20210365687 | FOOD-RECOGNITION SYSTEMS AND METHODS - A food-recognition engine can be used with a mobile device to identify, in real-time, foods present in a video stream. To capture the video stream, a user points a camera of the mobile device at foods they are about to consume. The video stream is displayed, in real-time, on a screen of the mobile device. The food-recognition engine uses several neural networks to recognize, in the video stream, food features, text printed on packaging, bar codes, logos, and “Nutrition Facts” panels. The neural-network outputs are combined to identify foods with high probabilities. The foods may be packaged or unpackaged, branded or unbranded, and labeled or unlabeled, and may appear simultaneously within the view of the mobile device. Information about recognized foods is displayed on the screen while the video stream is captured. The user may log identified foods with a gesture and without typing. | 2021-11-25 |
20210365688 | METHOD AND APPARATUS FOR PROCESSING INFORMATION ASSOCIATED WITH VIDEO, ELECTRONIC DEVICE, AND STORAGE MEDIUM - Provided is a method for processing information associated with video. The method includes: storing an association relationship between identification information of a first video and identification information of a second video, the two videos including a same video content segment; receiving a video query request message; in a case where the video query request message includes the identification information of the first video, acquiring and returning the identification information of the second video associated with the identification information of the first video; or in a case where the video query request message includes the identification information of the second video, acquiring and returning the identification information of the first video associated with the identification information of the second video. Further provided are an apparatus for processing information associated with video, a method and an apparatus for querying information associated with video, an electronic device, and a storage medium. | 2021-11-25 |
20210365689 | ADAPTIVE CONTENT CLASSIFICATION OF A VIDEO CONTENT ITEM - In a method for performing adaptive content classification of a video content item, frames of a video content item are analyzed at a sampling rate for a type of content, wherein the sampling rate dictates a frequency at which frames of the video content item are analyzed. Responsive to identifying content within at least one frame indicative of the type of content, the sampling rate of the frames is increased. Responsive to not identifying content within at least one frame indicative of the type of content, the sampling rate of the frames is decreased. It is determined whether the video content item includes the type of content based on the analyzing the frames. | 2021-11-25 |
20210365690 | SYSTEMS, METHODS AND DEVICES FOR MONITORING BETTING ACTIVITIES - A platform, device and process for capturing images of the surface of a gaming table and determining the quantity, identity, and arrangement of chips bet at a gaming table. Image data is captured corresponding to the one or more chips positioned in at least one betting area on a gaming surface of the respective gaming table and the data is processed to filter out the background, establish a two dimensional grid of points of interests and corresponding histograms for classifying the one or more chips through identifying a dominant classification of each row in the grid of points of interests. | 2021-11-25 |
20210365691 | METHOD AND DEVICE FOR EVALUATING IMAGES, OPERATIONAL ASSISTANCE METHOD AND OPERATING DEVICE - A method for evaluating images and, in particular, for evaluating correspondence hypotheses of images. The method includes (i) providing a hypothesis matrix of correspondence hypotheses between first and second images, each given as a corresponding image matrix, (ii) evaluating the hypothesis matrix and conditional verification of the image correspondence hypotheses and (iii) providing verified image correspondence hypotheses in a correspondence matrix of image correspondences as the evaluation result, the hypothesis matrix being evaluated by forming and evaluating a histogram with respect to the values of the component for each element of the hypothesis matrix for at least one component of correspondence hypotheses. | 2021-11-25 |
20210365692 | VEHICLE PERIPHERY MONITORING SYSTEM - Upon detection of boarding of a person in a vehicle compartment of a vehicle by a vehicle information detector, a controller controls an aircraft such that the aircraft takes off from the vehicle, a photographing unit photographs a periphery of the vehicle, and a video captured by the photographing unit is transmitted to a communication unit. | 2021-11-25 |
20210365693 | APPARATUS AND METHOD FOR RECOGNIZING DRIVING LANE OF VEHICLE - An apparatus and method for recognizing a driving lane of a vehicle are provided. The apparatus includes an information acquisition device that acquires forward information of a road on which the vehicle is driving, and a processor that recognizes an entrance section and an exit section on a front left side of the vehicle based on the forward information, and determines a driving lane of the vehicle by correcting a number of lanes of the road in the entrance section and the exit section. | 2021-11-25 |
20210365694 | APPARATUS AND METHOD FOR DETECTING LANE INFORMATION, AND COMPUTER-READABLE RECORDING MEDIUM STORING COMPUTER PROGRAM PROGRAMMED TO EXECUTE SAME METHOD - In accordance with an aspect of the present disclosure, there is provided a method for detecting a lane information comprising: obtaining, from a high definition map, first driving lane information corresponding to estimated position information on a vehicle; obtaining second driving lane information from a front view image from the vehicle captured by a camera installed in the vehicle; converting the first driving lane information and the second driving lane information according to an identical coordinate system; and obtaining final driving lane information by combining the converted first driving lane information and the converted second driving lane information. | 2021-11-25 |
20210365695 | METHOD AND APPARATUS USED FOR EXTRACTING FEATURE POINT OF ENVIRONMENTAL TARGET - A method and apparatus used for extracting a feature point of an environmental target, which relate to the field of vehicles. The method comprises: acquiring the position of each corner point of an environmental target; and determining a feature point of the environmental target according to the position of each corner point of the environmental target. Thus, the problem wherein target identification is not precise may be solved, which is particularly suitable for the identification of a large target. | 2021-11-25 |
20210365696 | Vehicle Intelligent Driving Control Method and Device and Storage Medium - The present disclosure relates to a method, a device, and a storage medium for vehicle intelligent driving control. The vehicle intelligent driving control method comprises: collecting, by means of a vehicle-mounted camera of a vehicle, a video stream of a road image of a scene where the vehicle is; detecting a target object in the road image to obtain a bounding box of the target object; determining, in the road image, a free space for the vehicle; adjusting the bounding box of the target object according to the free space; and carrying out intelligent driving control on the vehicle according to the adjusted bounding box. The bounding box of the target object can be used to identify the position and determine the actual position of the target object more precisely, such that intelligent driving control can be carried out on the vehicle more accurately. | 2021-11-25 |
20210365697 | SYSTEM AND METHOD FOR GENERATING FEATURE SPACE DATA - A system and method generate feature space data that may be used for object detection. The system includes one or more processors and a memory. The memory may include one or more modules having instructions that, when executed by the one or more processors, cause the one or more processors to obtain a two-dimension image of a scene, generate an output depth map based on the two-dimension image of the scene, generate a pseudo-LIDAR point cloud based on the output depth map, generate a bird's eye view (BEV) feature space based on the pseudo-LIDAR point cloud, and modify the BEV feature space to generate an improved BEV feature space using feature space neural network that was trained by using a training LIDAR feature space as a ground truth based on a LIDAR point cloud. | 2021-11-25 |
20210365698 | METHOD FOR CONTROLLING SIMULATION VEHICLE, ELECTRONIC DEVICE, AND STORAGE MEDIUM - Embodiments of the present disclosure generally relate to a method for controlling a simulation vehicle, an electronic device, and a computer readable storage medium. According to the method, a simulation vehicle determines a first region corresponding to a first simulation position where the simulation vehicle is located at a first time point; obtains first environment information about the first region and second environment information about a second region adjacent to the first region; sends the first environment information and the second environment information to a control device of the simulation vehicle; and determines a first action performed by the simulation vehicle at a second time point after the first time point based on a control signal in response to receiving the control signal from the control device, the control signal being determined by the control device based on the first environment information and the second environment information. | 2021-11-25 |
20210365699 | GEOMETRY-AWARE INSTANCE SEGMENTATION IN STEREO IMAGE CAPTURE PROCESSES - A system detects multiple instances of an object in a digital image by receiving a two-dimensional (2D) image that includes a plurality of instances of an object in an environment. For example, the system may receive the 2D image from a camera or other sensing modality of an autonomous vehicle (AV). The system uses a first object detection network to generate a plurality of predicted object instances in the image. The system then receives a data set that comprises depth information corresponding to the plurality of instances of the object in the environment. The data set may be received, for example, from a stereo camera of an AV, and the depth information may be in the form of a disparity map. The system may use the depth information to identify an individual instance from the plurality of predicted object instances in the image. | 2021-11-25 |
20210365700 | SYSTEM FOR AUTOMATIC STOP SIGN VIOLATION IDENTIFICATION - A violation detection platform may obtain image data, location data, and sensor data associated with a vehicle. The violation detection platform may determine a probability that a frame of the image data includes an image of a stop sign. The violation detection platform may determine that the probability satisfies a probability threshold. The violation detection platform may identify location data and sensor data associated with the frame of the image data based on the probability satisfying the probability threshold. The violation detection platform may determine an occurrence of a type of a stop sign violation based on the probability, the location data, and the sensor data. The violation detection platform may perform one or more actions based on determining the occurrence of the type of the stop sign violation. | 2021-11-25 |
20210365701 | VIRTUAL STOP LINE MAPPING AND NAVIGATION - A navigation system may include a processor programmed to receive, from a camera of the host vehicle, one or more images captured from an environment of the host vehicle, and analyze the one or more images to detect an indicator of an intersection. The processor may also be programmed to determine, based on output received from at least one sensor of the host vehicle, a stopping location of the host vehicle relative to the detected intersection, and analyze the one or more images to determine an indicator of whether one or more other vehicles are in front of the host vehicle. The processor may further be programmed to send the stopping location of the host vehicle and the indicator of whether one or more other vehicles are in front of the host vehicle to a server for use in updating a road navigation model. | 2021-11-25 |
20210365702 | INFRARED LIGHT SOURCE PROTECTIVE SYSTEM - A disclosed monitoring system includes infrared light sources that illuminate a subject in a sequenced manner and a camera that captures images of the subject during periods in which the subject is illuminated by one of the light sources. The system includes a processor that analyzes captured images to determine a brightness measure of the images, and a controller controls output power of the infrared light sources in response to the brightness measure. In response to the processor detecting a brightness measure below a predetermined brightness threshold, the controller is configured to switch off or reduce an output illumination intensity of one of the infrared light sources. A disclosed method further determines whether an emission source is occluded by modulating an intensity of an electromagnetic emission source, detecting whether the modulation pattern is present in captured images, and determining that the emission source is occluded based on the detected modulation. | 2021-11-25 |
20210365703 | CONVOLUTION OPERATOR SYSTEM TO PERFORM CONCURRENT CONVOLUTION OPERATIONS - Disclosed is a convolution operator system comprising a Convolution Neural Network (CNN) reconfigurable engine including a plurality of Mini Parallel Rolling Engines (MPREs) for performing a convolution operation concurrently on an image. An input router receives image data. A controller allocates image data to computing blocks through a set of data flow control blocks. Each computing block produces a convolution output corresponding to each row of the image. The controller allocates a plurality of group having one or more computing blocks to generate a set of convolution output. Further, a pipeline adder aggregates the set of convolution output to produce an aggregated convolution output. An output router transmits either the convolution output or the aggregated convolution output for performing subsequent convolution operation to generate a convolution result for the image data. | 2021-11-25 |
20210365704 | PATTERN IDENTIFICATION DEVICE AND DISPLAY APPARATUS - A device for identifying a pattern over a first surface includes a photosensitive layer, and a light-guiding layer disposed between the photosensitive layer and the first surface. The photosensitive layer includes a plurality of photosensitive elements, each configured to convert incident light into an electrical signal. The light-guiding layer includes a plurality of light-guiding units, each positionally corresponding to one of the plurality of photosensitive elements. Each light-guiding unit includes a plurality of light-transmitting portions, each configured to guide a light beam reflected from a feature of the pattern positionally corresponding thereto to transmit therethrough and reach one of the plurality of photosensitive elements corresponding to the each of the plurality of light-guiding units. The device can be used for identification of fingerprint, as well as other biometric or non-biometric features, and has a reduced thickness and an improved accuracy for pattern identification. | 2021-11-25 |
20210365705 | WORK STATION FOR MEDICAL DOSE PREPARATION - Embodiments of work stations for use in a medical dose preparation management system are disclosed. A work station may include a camera stand. The camera stand may include a housing enclosing a camera and one or more light sources therein. As such, the camera and light sources may be directed at a medical dose preparation staging region to capture medical dose preparation images of the medical dose preparation staging region. The camera stand may include an adjustable support positionable in a plurality of positions to dispose the camera and light source relative to the medical dose preparation staging region. The work stations may facilitate improved image quality and record work flows carried out at the work station for preparation verification. | 2021-11-25 |
20210365706 | METHOD AND SYSTEM FOR ABSOLUTE POSITIONING OF AN OBJECT - A system and method for determining an absolute position of an object in an area is presented. The system includes a server having a processor, and a plurality of camera nodes coupled to the server. Each node includes a camera that acquires images of the object and area. The server receives image data from a camera, detects the object within an approximate location by image analysis techniques, and determines a relative position of the object in pixel coordinates. The processor then detects stationary markers proximate to the relative location of the object, determines an absolute position of the detected markers relative to known markers to define an absolute position of the marker, and determines an absolute location of the object in relation to the absolute location of the detected marker. This absolute position of the object is provided to an official to accurately locate the object in the area. | 2021-11-25 |
20210365707 | MAINTAINING FIXED SIZES FOR TARGET OBJECTS IN FRAMES - Techniques are provided for processing one or more frames. For example, a region of interest can be determined in a first frame of a sequence of frames. The region of interest in the first frame includes an object having a size in the first frame. A portion of a second frame of the sequence of frames (occurring after the first frame in the sequence of frames) can be cropped and scaled to cause the object in the second frame to have a same size (and in some cases a same location) as the object in the first frame. | 2021-11-25 |
20210365708 | METHOD AND SYSTEM FOR SEGMENTING TOUCHING TEXT LINES IN IMAGE OF UCHEN-SCRIPT TIBETAN HISTORICAL DOCUMENT - A method and system for segmenting touching text lines in an image of a uchen-script Tibetan historical document are provided. The method includes: first obtaining a binary image of a uchen-script Tibetan historical document after layout analysis; detecting local baselines in the binary image, to generate a local baseline information set; detecting and segmenting a touching region in the binary image according to the local baseline information set, to generate a touching-region-segmented image; allocating connected components in the touching-region-segmented image to corresponding lines, to generate a text line allocation result; and splitting text lines in the touching-region-segmented image according to the text line allocation result, to generate a line-segmented image. In the present disclosure, touching text lines in a Tibetan historical document can be effectively segmented, and text line segmentation efficiency of the Tibetan historical document is improved. | 2021-11-25 |
20210365709 | SYSTEM, METHOD AND APPARATUS FOR ASSISTING A DETERMINATION OF MEDICAL IMAGES - A quantification system ( | 2021-11-25 |
20210365710 | IMAGE PROCESSING METHOD, APPARATUS, EQUIPMENT, AND STORAGE MEDIUM - An image processing method is disclosed. The image processing method may include inputting a first image and a third image to a pre-trained style transfer network model, the third image being a composited image formed by the first image and a second image; extracting content features of the third image and style features of the second image, normalizing the content features of the third image based on the style features of the second image to obtain target image features, and generating a target image based on the target image features and outputting the target image by using the pre-trained style transfer network model. | 2021-11-25 |
20210365711 | Character Recognition in Air-Writing Based on Network of Radars - In an embodiment, a method for air-writing character recognition includes: determining a position of an object in a monitoring space using a plurality of millimeter-wave radars, where each millimeter-wave radar of the plurality of millimeter-wave radars has a field of view, and where an intersection of the fields of view of the plurality of millimeter-wave radars forms the monitoring space; tracking the position of the object in the monitoring space over time using the plurality of millimeter-wave radars; determining a character symbol depicted by the tracked position of the object over time using a neural network (NN); and providing a signal based on the determined character symbol. | 2021-11-25 |
20210365712 | DEEP LEARNING-BASED FEATURE EXTRACTION FOR LIDAR LOCALIZATION OF AUTONOMOUS DRIVING VEHICLES - In one embodiment, a method for extracting point cloud features for use in localizing an autonomous driving vehicle (ADV) includes selecting a first set of keypoints from an online point cloud, the online point cloud generated by a LiDAR device on the ADV for a predicted pose of the ADV; and extracting a first set of feature descriptors from the first set of keypoints using a feature learning neural network running on the ADV, The method further includes locating a second set of keypoints on a pre-built point cloud map, each keypoint of the second set of keypoints corresponding to a keypoint of the first set of keypoint; extracting a second set of feature descriptors from the pre-built point cloud map; and estimating a position and orientation of the ADV based on the first set of feature descriptors, the second set of feature descriptors, and a predicted pose of the ADV. | 2021-11-25 |
20210365713 | IMAGE CLUSTERING METHOD AND APPARATUS, AND STORAGE MEDIUM - The disclosure provides an image clustering method and an image clustering apparatus. The method includes: obtaining new images, and clustering the new images to obtain a first cluster; determining a historical cluster similar to the first cluster as a second cluster from existing historical clusters; obtaining a distance between the first cluster and the second cluster; and generating a target cluster by fusing the first cluster and the second cluster based on the distance. In the image clustering method, with the image clustering apparatus of the disclosure, secondary clustering processing performed on the existing historical clusters based on newly added images is not required, new and old clusters are directly fused. | 2021-11-25 |
20210365714 | Detecting Artificial Multimedia Content Using Deep Network Response Analysis - Multiple trained AI models are tested using known genuine samples of respective multiple modalities of multimedia to generate versions of the multiple modalities of a given multimedia sample. Data for the multimedia and the multimedia sample are divided into the multiple modalities. Respective differences are computed between respective components of the multiple trained AI models to produce respective multiple difference vector, which are compared with corresponding baseline difference vectors determined in order to train the multiple trained AI models. The given multimedia sample is classified as genuine or altered using at least the comparison. | 2021-11-25 |
20210365715 | METHOD FOR DETECTING OF COMPARISON PERSONS TO A SEARCH PERSON, MONITORING ARRANGEMENT, IN PARTICULAR FOR CARRYING OUT SAID METHOD, AND COMPUTER PROGRAM AND COMPUTER-READABLE MEDIUM - A method for detecting comparison persons | 2021-11-25 |
20210365716 | METHOD AND SYSTEM OF DEEP SUPERVISION OBJECT DETECTION FOR REDUCING RESOURCE USAGE - A system, article, and method of deep supervision object detection for reducing resource usage is provided for image processing and that uses depth-wise dense blocks. | 2021-11-25 |
20210365717 | METHOD AND APPARATUS FOR SEGMENTING A MEDICAL IMAGE, AND STORAGE MEDIUM - Embodiments of this disclosure include a method and an apparatus for segmenting a medical image. The method may include obtaining a slice pair comprising two slices and performing feature extraction on each slice in the slice pair, to obtain high-level feature information and low-level feature information of the each slice in the slice pair. The method may further include segmenting a target object in the each slice according to the low-level feature information and the high-level feature information of the slice, to obtain an initial segmentation result of the each slice and fusing the low-level feature information and the high-level feature information of the slices to obtain a fused feature information. The method may further include determining correlation information between the slices according to the fused feature information and generating a segmentation result of the slice pair based on the correlation information and the initial segmentation results of the slices. | 2021-11-25 |
20210365718 | OBJECT FUNCTIONALITY PREDICATION METHODS, COMPUTER DEVICE, AND STORAGE MEDIUM - A method is disclosed. The method includes obtaining an object for prediction and a plurality of candidate scenes by a computer device; inputting the object for prediction and a current candidate scene to a distance measurement model, the distance measurement model calculates a feature vector corresponding to the current candidate scene based on a trained scene feature subnetwork, and outputs a distance from the object for prediction to the current candidate scene based on the object for prediction and the feature vector corresponding to the current candidate scene, model parameters of the distance measurement model including a parameter determined by a trained object feature subnetwork; obtaining distances from the object for prediction to the plurality of candidate scenes based on the distance measurement model; determining a target scene corresponding to the object for prediction based on the distances from the object for prediction to the plurality of candidate scenes. | 2021-11-25 |
20210365719 | SYSTEM AND METHOD FOR FEW-SHOT LEARNING - A system and method for training set of images in which objects of a particular class are identified and using the training set train a model to identify other objects of the class and a candidate object. Calculating a feature vector describing candidate object identified in an image and further calculating a score regarding the similarity between the feature vector and another feature vector describing the identified objects in the training set, and provided that the score passes a predefined threshold, adding the image to the training set, and using the augmented training set, retrain the model. | 2021-11-25 |
20210365720 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND STORAGE MEDIUM FOR LIGHTING PROCESSING ON IMAGE USING MODEL DATA - An image processing apparatus generates a normal image, when lighting correction of an image is performed using three-dimensional shape data. Three-dimensional shape data of a predetermined object is adjusted with a subject in position, based on a feature pattern detected in image data, and lighting processing for correcting a pixel value of the image data is performed based on the adjusted three-dimensional shape data, distance information of the subject, and a position of a virtual light source. When the three-dimensional shape data is adjusted with the image data in position, a region having a large irregularity in the three-dimensional shape data is preferentially adjusted in position. | 2021-11-25 |
20210365721 | SYSTEMS AND METHODS FOR CREATING A PARKING MAP - A method of creating a parking facility map includes obtaining one or more images of a parking facility, generating an estimate map of parking spaces in the parking facility based at least on the one or more images (the estimate map of parking spaces includes a plurality of estimate parking space shapes), identifying a parking block that includes a cluster of estimate parking spaces among the plurality of estimate parking space shapes, determining a common geometric pattern among the cluster of estimate parking spaces, correcting geometrical features of one or more estimate parking spaces in the cluster of estimate parking spaces based at least in part on the common geometric pattern, identifying one or more gaps among the cluster of estimate parking space shapes, and determining a number of inserted parking spaces to fill the one or more gaps based at least in part on the common geometric pattern. | 2021-11-25 |
20210365722 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND STORAGE MEDIUM - An information processing device includes at least one memory storing a program, and at least one processor which, by executing the program, causes the information processing apparatus to acquire an image group obtained by imaging a subject under a plurality of imaging conditions, select at least one inference model from a plurality of inference models on the basis of at least one imaging condition among the plurality of imaging conditions, and perform inferencing on images in the acquired image group by using the selected inference model. | 2021-11-25 |
20210365723 | Position Masking for Transformer Models - Embodiments of the present disclosure include systems and methods for training transformer models using position masking. In some embodiments, a set of data for training a transformer model is received. The set of data includes a sequence of tokens and a set of position values. Each position value in the set of position values represents a position of a token in the sequence of tokens relative to other tokens in the sequence of tokens. A subset of the set of position values in the set of data is selected. Each position value in the subset of the set of position values is replaced with a second defined value to form a second set of defined values. The transformer model is trained using the set of data. | 2021-11-25 |
20210365724 | OBJECT DETECTION SYSTEM AND AN OBJECT DETECTION METHOD - Provided are an object detection system and an object detection method. An object detection system may include a feature map extraction module configured to receive an image for object detection and extract a feature map having multiple resolutions for the image; a bounding box detection module configured to classify a bounding box by applying a first group of convolutional layers to the feature map, and predict the bounding box by applying a second group of convolutional layers to the feature map; and a mask generation module configured to generate a mask for the shape of the object in the bounding box using the feature map. | 2021-11-25 |
20210365725 | SYSTEM AND METHOD FOR CREATING AN IMAGE AND/OR AUTOMATICALLY INTERPRETING IMAGES - A method of identifying and analyzing contiguities in images is disclosed. The contiguities are indicative features and various qualities of an image, which may be used for identifying objects and/or relationships in images. Alternatively, the contiguities may be helpful in ensuring that an image has a desired figure-ground ambiguous switch between percepts, so as to create a desired effect when combined with other images to generate a composite image set. The contiguity may be a group of picture elements that are adjacent to one another that form a continuous image element that extends generally horizontally (e.g., diagonally, horizontally and/or vertically) across the image. | 2021-11-25 |
20210365726 | METHOD AND APPARATUS FOR OBJECT DETECTION IN IMAGE, VEHICLE, AND ROBOT - This application discloses a method and apparatus for object detection in an image, a vehicle, and a robot. The method for object detection in an image is performed by a computing device. The method includes determining an image feature of an image; determining a correlation of pixels in the image based on the image feature; updating the image feature of the image based on the correlation to obtain an updated image feature; and determining an object detection result in the image according to the updated image feature. | 2021-11-25 |
20210365727 | Text-to-Visual Machine Learning Embedding Techniques - Text-to-visual machine learning embedding techniques are described that overcome the challenges of conventional techniques in a variety of ways. These techniques include use of query-based training data which may expand availability and types of training data usable to train a model. Generation of negative digital image samples is also described that may increase accuracy in training the model using machine learning. A loss function is also described that also supports increased accuracy and computational efficiency by losses separately, e.g., between positive or negative sample embeddings a text embedding. | 2021-11-25 |
20210365728 | IMAGE PROCESSING METHOD, PROCESSING APPARATUS AND PROCESSING DEVICE - An image processing method includes: obtaining an input image; and performing image conversion processing on the input image by using a generative neural network, to output a converted output image, wherein the generative neural network includes a plurality of processing levels, wherein an output result of an i-th processing level is inputted to an (i+1)-th processing level and a j-th processing level, the j-th processing level further receives an output result of a (j−1)-th processing level, the output result of the (j−1)-th processing level and the output result of the i-th processing level have the same size, wherein i is less than j−1, i and j are positive integers. | 2021-11-25 |
20210365729 | TRAIING METHOD FOR VIDEO STABILIZATION AND IMAGE PROCESSING DEVICE USING THE SAME - A training method for video stabilization and an image processing device using the same are proposed. The method includes the following steps. An input video including low dynamic range (LDR) images is received. The LDR images are converted to high dynamic range (HDR) images by using a first neural network. A second neural network for video stabilization is trained to generate stabilized HDR images in a time-dependent manner. | 2021-11-25 |
20210365730 | METHOD FOR GENERATING TRAINING DATA AND AN ELECTRONIC DEVICE - The disclosure provides a method for generating training data and an electronic device. The method includes: obtaining an object model of a specific object; obtaining a first image when the object model is positioned at a first angle and a first silhouette corresponding to the first image; retrieving a first object image representing the specific object positioned at the first angle from the first image based on the first silhouette; embedding the first object image into a first background image to generate a first training image; generating a first labeled data of the first object image in the first training image; and defining the first training image and the first labeled data as a first training data of the specific object. | 2021-11-25 |
20210365731 | INFORMATION PROCESSING METHOD AND INFORMATION PROCESSING SYSTEM - An information processing method includes the following executed by a computer: acquiring a first image and object data of an object appearing in the first image, extracting a portion of the first image that corresponds to a difference between the object data and an object detection result obtained by inputting the first image to a trained model, the trained model receiving an image as input to output an object detection result, acquiring a second image that includes a portion corresponding to the same object data as object data corresponding to the extracted portion of the first image, reflecting an image based on the extracted portion of the first image in the portion of the acquired second image that corresponds to the same object data, and generating training data for the trained model. | 2021-11-25 |
20210365732 | Method for Image Classification, Computer Device, and Storage Medium - A method for image classification includes acquiring a to-be-classified image and inputting the to-be-classified image to a trained image classification model, the trained image classification model includes a localization segmentation sub-network, an alignment sub-network, and a classification sub-network, the alignment sub-network is formulized as a valve linkage function, the image classification model is obtained, and in a forward-propagation phase, an output of the valve linkage function is an aligned image; in a backward-propagation phase, the output of the valve linkage function is a function; subjecting the to-be-classified image through the localization segmentation sub-network for locating and segmenting a target object of the to-be-classified image to obtain a segmented image; subjecting the segmented image through the alignment sub-network, the alignment sub-network aligning the target object to obtain an aligned image; and subjecting the aligned image through the classification sub-network for fine-grain classification to obtain a class corresponding to the to-be-classified image. | 2021-11-25 |
20210365733 | INVERTIBLE DEPTH NETWORK FOR IMAGE RECONSTRUCTION AND DOMAIN TRANSFERS - A method for image reconstruction and domain transfer through an invertible depth network is described. The method includes training a first invertible depth network model using a first image dataset corresponding to a first geographic region to estimate a first depth map. The method also includes retraining the first invertible depth network model using a second image dataset corresponding to a second geographic region to estimate a second depth map. The method further includes reconstructing, by the first invertible depth network model, a third image dataset based on the second depth map. The method also includes training a second invertible depth network model using the third image dataset corresponding to the first geographic region and the second geographic region to estimate a third depth map. | 2021-11-25 |
20210365734 | DISTRIBUTED TRAINING OF SYSTEMS FOR MEDICAL IMAGE ANALYSIS - The present subject matter provides systems and methods for distributed training of artificial intelligence (AI) systems for medical image analysis. The systems allow for offline prediction of abnormalities of medical images on a local AI system associated with an imaging device (102). In one example, the local AI system ( | 2021-11-25 |
20210365735 | COMPUTER-IMPLEMENTED TRAINING METHOD, CLASSIFICATION METHOD AND SYSTEM AND COMPUTER-READABLE RECORDING MEDIUM - A computer-implemented method for training a classifier (Φη), including: training a pretext model (ΦΘ) to learn a pretext task, so as to minimize a distance between an output of a source sample via the pretext model (ΦΘ) and an output of a corresponding transformed sample via the pretext model (ΦΘ), the transformed sample being a sample obtained by applying a transformation (T) to the source sample; S | 2021-11-25 |
20210365736 | Dental Image Quality Prediction Platform Using Domain Specific Artificial Intelligence - In medicine and dentistry, image quality affects computer vision accuracy. However, some problems are more tolerant of noise depending on disease severity and radiographic obviousness. There is a need to have a noise estimation model that adapts to each specific domain. A noise estimation model is trained to output a set of domain noise estimates for an input image, each estimate indicating an impact of noise present in the input image on a particular domain, e.g. labeling of a dental feature such as a dental anatomy, pathology, or treatment. The noise estimation model is trained by processing image pairs with a set of machine learning models for a plurality of domains, the image pairs including a raw image and a modified image obtained by adding noise to the raw image. Outputs of the set of machine learning models for the raw and modified images are compared to obtain measured noise metrics. The noise estimation model processes the modified image and is trained to estimate noise metrics. The noise estimation model is modified according to differences between the measured noise metrics and estimated noise metrics. | 2021-11-25 |
20210365737 | DUAL STAGE NEURAL NETWORK PIPELINE SYSTEMS AND METHODS - A method of identifying and recognizing characters using a dual-stage neural network pipeline, the method including: receiving, by a computing device, image data; providing the image data to a first convolutional layer of a convolutional neural network (CNN); applying, using the CNN, pattern recognition to the image data to identify a region of the image data containing text; providing sub-image data comprising the identified region of the image data to a convolutional recurrent neural network (CRNN); and recognizing, using the CRNN, the characters within the sub-image data. | 2021-11-25 |
20210365738 | METHOD AND APPARATUS FOR TRAINING MODEL, METHOD AND APPARATUS FOR PREDICTING MINERAL, DEVICE, AND STORAGE MEDIUM - The present disclosure discloses a method and apparatus for training a model, a method and apparatus for predicting a mineral, a device and a storage medium, and relates to the fields of computer vision and deep learning technologies. An implementation of the method may include: acquiring a target hyperspectral image of a target area, the target hyperspectral image including at least one pixel point annotated with a mineral category; determining a mask image corresponding to the target hyperspectral image; determining a sample hyperspectral image according to the target hyperspectral image and the mask image; determining an annotation vector of each pixel point according to the at least one pixel point annotated with the mineral category; and training a model according to the sample hyperspectral image and the annotation vector of the each pixel point. | 2021-11-25 |
20210365739 | ADVERSARIAL MASKS FOR FALSE DETECTION REMOVAL - Methods, systems, and apparatus, including computer programs encoded on computer storage media, for false detection removal using adversarial masks. The method includes performing object detection on a first image that includes a first region using a detection model determining the detection model incorrectly classified the first region of the first image; generating an adversarial mask based on the first region of the first image and the detection model; obtaining a second image that includes the first region; generating a masked image based on the second image and the adversarial mask; and performing object detection on the masked image including the first region using the detection model. | 2021-11-25 |
20210365740 | PREDICTION-CORRECTION APPROACH TO ZERO SHOT LEARNING - Approaches to zero-shot learning include partitioning training data into first and second sets according to classes assigned to the training data, training a prediction module based on the first set to predict a cluster center based on a class label, training a correction module based on the second set and each of the class labels in the first set to generate a correction to a cluster center predicted by the prediction module, presenting a new class label for a new class to the prediction module to predict a new cluster center, presenting the new class label, the predicted new cluster center, and each of the class labels in the first set to the correction module to generate a correction for the predicted new cluster center, augmenting a classifier based on the corrected cluster center for the new class, and classifying input data into the new class using the classifier. | 2021-11-25 |
20210365741 | IMAGE CLASSIFICATION METHOD, COMPUTER-READABLE STORAGE MEDIUM, AND COMPUTER DEVICE - A computer device obtains a plurality of medical images. The device generates a texture image based on image data of a region of interest in the medical images. The device extracts a local feature from the texture image using a first network model. The device extracts a global feature from the medical images using a second network model. The device fuses the extracted local feature and the extracted global feature to form a fused feature. The device performs image classification based on the fused feature. | 2021-11-25 |
20210365742 | Determining Video Cuts in Video Clips - In implementations of determining video cuts in video clips, a video cut detection system can receive a video clip that includes a sequence of digital video frames that depict one or more scenes. The video cut detection system can determine scene characteristics for the digital video frames. The video cut detection system can determine, from the scene characteristics, a probability of a video cut between two adjacent digital video frames having a boundary between the two adjacent digital video frames that is centered in the sequence of digital video frames. The video cut detection system can then compare the probability of the video cut to a cut threshold to determine whether the video cut exists between the two adjacent digital video frames. | 2021-11-25 |
20210365743 | PERSON SEARCH METHOD BASED ON PERSON RE-IDENTIFICATION DRIVEN LOCALIZATION REFINEMENT - The invention discloses a person search method based on person re-identification driven localization refinement. On one hand, the region of interest (ROI) conversion module converts an original input image into a small image corresponding to a ROI, and contradiction existing in part of features shared by a person re-identification network and a detection network is avoided; and on the other hand, loss of the person re-identification network can be transmitted back to the detection network in a gradient manner through the ROI conversion module, the supervision of loss of the person re-identification network for the detection bounding box output by the detection network is realized, and the adjusted detection bounding box can effectively remove background interference, contains more useful attribute information and is more suitable for person search, so that the person search accuracy is greatly improved. | 2021-11-25 |
20210365744 | SYSTEM, METHOD, AND COMPUTER-READABLE MEDIUM FOR IMAGE CLASSIFICATION - The present disclosure generally relates to the field of deep learning technologies. A cascaded system for classifying an image includes a first cascade layer including a first analysis module coupled to a first input terminal, and a first pooling module coupled to the first analysis module; a second cascade layer including a second analysis module coupled to a second input terminal, and a second pooling module coupled to the first pooling module and the second analysis module; a synthesis layer coupled to the second pooling module, and an activation layer coupled to the synthesis layer. | 2021-11-25 |
20210365745 | Method and Apparatus for Implementing Automated Fossil Identification to Augment Biostratigraphy Workflows - A computer program product is embodied on a non-transitory computer readable medium. The computer readable medium has instructions stored thereon that, when executed by a computer, causes the computer to perform receiving image data that is to be recognized by the at least one classifier. The image data captures an occurrence of a fossil species. The computer can also perform generating an output via the at least one classifier based on the received image data. The computer can also perform comparing the output of the at least one classifier with a desired output. The computer can also perform modifying the at least one classifier so that the output of the classifier corresponds to the desired output. | 2021-11-25 |
20210365746 | METHOD OF CLASSIFICATING OUTLIER IN OBJECT RECOGNITION AND DEVICE AND ROBOT OF CLASSIFYING THEREOF - The present invention relates to a method, device, and robot for classifying an outlier during object recognition learning using artificial intelligence. The method or device for classifying an outlier during object recognition learning according to an embodiment of the present invention sets an inlier region and an outlier region through learning using unlabeled data and labeled data. | 2021-11-25 |
20210365747 | FIELD PROGRAMMABLE GATE ARRAY ARCHITECTURE FOR IMAGE ANALYSIS - An FPGA device receives an input matrix. A first convolutional kernel is determined by performing the exclusive nor operations between the input matrix and a first weight vector. A first binary kernel is determined based on the first convolutional kernel. A first layer feature map is determined by convoluting the input matrix using the first binary kernel. A second convolutional kernel is determined by performing the exclusive nor operations between the first feature map and the second weight vector. A pooled kernel is determined based on the second convolutional kernel. A second binary kernel is determined based on the pooled kernel. A second layer feature map is determined by convoluting the first layer feature map using the second binary kernel. A probability is determined that the input matrix is associated with a predetermined class of images. If the probability is greater than a threshold, classification results are provided. | 2021-11-25 |
20210365748 | SIDE VIEW CAMERA DETECTING WHEELS - A method for detecting wheels of a vehicle on a road comprises directing a vehicle classification sensor onto a section of the road and recording a 3D representation of the vehicle, directing a camera onto the section and recording a source 2D image, determining a bounding box circumscribing the 3D representation, a side and four corner points of said bounding box side, identifying corner points in a source 2D image plane, defining four corner points of a rectangle in a destination 2D image plane, calculating a projective transformation between the source corner image points and the destination corner image points, transforming source 2D image pixels to destination 2D image pixels of a first destination 2D image, and detecting the wheels using the destination 2D image. | 2021-11-25 |
20210365749 | IMAGE DATA PROCESSING METHOD AND APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM - Embodiments of the disclosure provide an image data processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining, in response to an expression image trigger operation of a target user, an operation object associated with the expression image trigger operation on a session page of an instant messaging application; based on the operation object being image data, extracting a target object feature in the image data, and obtaining a first image set associated with the target object feature from an object feature library; and determining a target expression image in response to a selection trigger operation of the target user in the first image set, and displaying the target expression image on the session page. | 2021-11-25 |
20210365750 | SYSTEMS AND METHODS FOR ESTIMATING FUTURE PATHS - A system and method estimate a future path ahead of a current location of a vehicle. The system includes at least one processor programmed to: obtain an image of an environment ahead of a current arbitrary location of a vehicle navigating a road; obtain a trained system that was trained to estimate a future path on a first plurality of images of environments ahead of vehicles navigating roads; apply the trained system to the image of the environment ahead of the current arbitrary location of the vehicle; and provide, based on the application of the trained system to the image, an estimated future path of the vehicle ahead of the current arbitrary location. | 2021-11-25 |
20210365751 | Punched Card Capacitive Touch Stamp With Systems And Methods For Authentication - A punched card capacitive touch stamp is disclosed along with systems and methods for authentication using the punched card capacitive touch stamp. The punched card capacitive touch stamp provides for authentication and validation through interaction with a capacitive touch sensor of a computing device such as a smart phone. The punched card capacitive touch stamp has a substrate such as a card, and a plurality of punched holes through this substrate with either clearance for a user's fingers to directly contact the capacitive touch sensor or containing electrically conductive inserts allowing users to indirectly make electrical contact with the capacitive touch sensor. Contact with the capacitive touch sensor in a unique spatial pattern is transferred simultaneously, or in a sequential combination, and is captured by the electronic device and transmitted to an external server to be decoded and authenticated. | 2021-11-25 |