Patent application number | Description | Published |
20120271871 | DOUBLE PRECISION APPROXIMATION OF A SINGLE PRECISION OPERATION - A method for double precision approximation of a single precision operation is disclosed. The method may include steps (A) to (B). Step (A) may store an input value in a processor. The processor generally implements a plurality of first operations in hardware. Each first operation may receive a first variable as an argument. The first variable may be implemented in a fixed point format at a single precision. The input value may be implemented in the fixed point format at a double precision. Step (B) may generate an output value by emulating a selected one of the first operations using the input value as the argument. The emulation may utilize the selected first operation in hardware. The output value may be implemented in the fixed point format at the double precision. The emulation is generally performed by a plurality of instructions executed by the processor. | 10-25-2012 |
20140362289 | METHOD AND APPARATUS FOR INCREASING FRAME RATE OF AN IMAGE STREAM USING AT LEAST ONE HIGHER FRAME RATE IMAGE STREAM - An image processing system comprises an image processor configured to obtain a first image stream having a first frame rate and a second image stream having a second frame rate lower than the first frame rate, to recover additional frames for the second image stream based on existing frames of the first and second image streams, and to utilize the additional frames to provide an increased frame rate for the second image stream. Recovering additional frames for the second image stream based on existing frames of the first and second image streams illustratively comprises determining sets of one or more additional frames for insertion between respective pairs of consecutive existing frames in the second image stream in respective iterations. | 12-11-2014 |
20150030232 | IMAGE PROCESSOR CONFIGURED FOR EFFICIENT ESTIMATION AND ELIMINATION OF BACKGROUND INFORMATION IN IMAGES - An image processing system comprises an image processor implemented using at least one processing device and adapted for coupling to an image source, such as a depth imager. The image processor is configured to compute a convergence matrix and a noise threshold matrix, to estimate background information of an image utilizing the convergence matrix, and to eliminate at least a portion of the background information from the image utilizing the noise threshold matrix. The background estimation and elimination may involve the generation of static and dynamic background masks that include elements indicating which pixels of the image are part of respective static and dynamic background information. The computing, estimating and eliminating operations may be performed over a sequence of depth images, such as frames of a 3D video signal, with the convergence and noise threshold matrices being recomputed for each of at least a subset of the depth images. | 01-29-2015 |
20150043807 | DEPTH IMAGE COMPRESSION AND DECOMPRESSION UTILIZING DEPTH AND AMPLITUDE DATA - In one embodiment, an image processing system comprises an image processor configured to obtain depth and amplitude data associated with a depth image, to identify a region of interest based on the depth and amplitude data, to separately compress the depth and amplitude data based on the identified region of interest to form respective compressed depth and amplitude portions, and to combine the separately compressed portions to provide a compressed depth image. The image processor may additionally or alternatively be configured to obtain a compressed depth image, to divide the compressed depth image into compressed depth and amplitude portions, and to separately decompress the compressed depth and amplitude portions to provide respective depth and amplitude data associated with a depth image. Other embodiments of the invention can be adapted for compressing or decompressing only depth data associated with a given depth image or sequence of depth images. | 02-12-2015 |
20150206318 | METHOD AND APPARATUS FOR IMAGE ENHANCEMENT AND EDGE VERIFICATON USING AT LEAST ONE ADDITIONAL IMAGE - An image processing system comprises an image processor configured to perform first and second edge detection operations on respective first and second images to obtain respective first and second edge images, to apply a joint edge weighting operation using edges from the first and second edge images, to generate an edge mask based on results of the edge weighting operation, to utilize the edge mask to obtain a third edge image, and to generate a third image based on the third edge image. By way of example only, in a given embodiment the first image may comprise a first depth image generated by a depth imager, the second image may comprise a two-dimensional image of substantially the same scene as the first image, and the third image may comprise an enhanced depth image having enhanced edge quality relative to the first depth image. | 07-23-2015 |
20150220804 | IMAGE PROCESSOR WITH EDGE SELECTION FUNCTIONALITY - An image processing system comprises an image processor configured to perform an edge detection operation on a first image to obtain a second image, to identify particular edges of the second image that exhibit at least a specified reliability, and to generate a third image comprising the particular edges and excluding other edges of the second image. By way of example only, in a given embodiment the first image may comprise a depth image generated by a depth imager, the second image may comprise an edge image generated by applying the edge detection operation to the depth image, and the third image may comprise a modified edge image having only the particular edges that exhibit at least the specified reliability. | 08-06-2015 |
20150269425 | DYNAMIC HAND GESTURE RECOGNITION WITH SELECTIVE ENABLING BASED ON DETECTED HAND VELOCITY - An image processing system comprises an image processor configured to determine velocity of a hand in a plurality of images, and to selectively enable dynamic gesture recognition for at least one image responsive to the determined velocity. By way of example, the image processor illustratively includes a dynamic gesture preprocessing detector and a dynamic gesture recognizer, with the dynamic gesture preprocessing detector being configured to determine the velocity of the hand for a current frame and to compare the determined velocity to a specified velocity threshold. If the determined velocity is greater than or equal to the velocity threshold, the dynamic gesture recognizer operates on the current frame, and otherwise the dynamic gesture recognizer is bypassed for the current frame. The dynamic gesture recognizer when enabled is configured to generate similarity measures for respective ones of a plurality of gestures of a gesture vocabulary for the current frame. | 09-24-2015 |