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公开(公告)号：US11887346B2
公开(公告)日：2024-01-30
申请号：US18176699
申请日：2023-03-01
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Deepak Kumar Poddar , Soyeb Nagori , Hrushikesh Tukaram Garud , Kumar Desappan
CPC classification number: G06V10/7715 , G06T3/4046 , G06V10/462 , G06V10/48 , G06N3/084
Abstract: An example image feature extraction system comprises an encoder neural network having a first set of layers and a decoder neural network having a second set of layers and a third set of layers. The encoder neural network receives an input image, processes the input image through the first set of layers, and computes an encoded feature map based on the input image. The decoder neural network receives the encoded feature map, processes the encoded feature map through the second set of layers to compute a keypoint score map, and processes the encoded feature map through at least a portion of the third set of layers to compute a feature description map.
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公开(公告)号：US10715815B2
公开(公告)日：2020-07-14
申请号：US16432453
申请日：2019-06-05
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Hrushikesh Tukaram Garud , Mihir Narendra Mody , Soyeb Nagori
IPC: H04N19/31 , H04N19/147 , H04N19/117 , H04N19/182 , H04N19/149 , H04N19/82 , H04N19/176
Abstract: The disclosure provides a sample adaptive offset (SAO) encoder. The SAO encoder includes a statistics collection (SC) block and a rate distortion optimization (RDO) block coupled to the SC block. The SC block receives a set of deblocked pixels and a set of original pixels. The SC block categorizes each deblocked pixel of the set of deblocked pixels in at least one of a plurality of band and edge categories. The SC block estimates an error in each category as difference between a deblocked pixel of the set of deblocked pixels and corresponding original pixel of the set of original pixels. The RDO block determines a set of candidate offsets associated with each category and selects a candidate offset with a minimum RD cost. The minimum RD cost is used by a SAO type block and a decision block to generate final offsets for the SAO encoder.
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公开(公告)号：US09826240B2
公开(公告)日：2017-11-21
申请号：US14320712
申请日：2014-07-01
Applicant: Texas Instruments Incorporated
Inventor： Mihir Narendra Mody , Hrushikesh Tukaram Garud , Soyeb Nagori
IPC: H04N19/117 , H04N19/119 , H04N19/89 , H04N19/44 , H04N19/80 , H04N19/132 , H04N19/176 , H04N19/14 , H04N19/82
CPC classification number: H04N19/176 , H04N19/117 , H04N19/119 , H04N19/132 , H04N19/14 , H04N19/82
Abstract: An apparatus for sample adaptive offset (SAO) filtering in video encoding. A unified processing engine collects statistics on a block of pixels, determines a minimum RD cost (J) for each category of band offsets and edge offsets; determines a RD cost to find the optimal SAO type and determines a cost for each of the left SAO parameters and the up SAO parameters. The unified processing engine operates for three iterations: once for luminance once for each chrominance. A SAO merge decision unit determines an optimal mode and generates current LCU Parameters. The RD offset unit determination includes determining whether the sign of the minimum offset is proper for the category of edge offset. The RD offset is determined using a programmable look-up table indexed by the offset to estimate a rate. The unified processing engine operates on a three stage pipeline: loading blocks; processing; and updating blocks.
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公开(公告)号：US20240420275A1
公开(公告)日：2024-12-19
申请号：US18816153
申请日：2024-08-27
Applicant: Texas Instruments Incorporated
Abstract: A computer vision system is provided that includes a camera capture component configured to capture an image from a camera, a memory, and an image compression decompression engine (ICDE) coupled to the memory and configured to receive each line of the image, and compress each line to generate a compressed bit stream. To compress a line, the ICDE is configured to divide the line into compression units, and compress each compression unit, wherein to compress a compression unit, the ICDE is configured to perform delta prediction on the compression unit to generate a delta predicted compression unit, compress the delta predicted compression unit using exponential Golomb coding to generate a compressed delta predicted compression unit, and add the compressed delta predicted compression unit to the compressed bit stream.
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公开(公告)号：US20200258188A1
公开(公告)日：2020-08-13
申请号：US16858596
申请日：2020-04-25
Applicant: Texas Instruments Incorporated
Abstract: A computer vision system is provided that includes a camera capture component configured to capture an image from a camera, a memory, and an image compression decompression engine (ICDE) coupled to the memory and configured to receive each line of the image, and compress each line to generate a compressed bit stream. To compress a line, the ICDE is configured to divide the line into compression units, and compress each compression unit, wherein to compress a compression unit, the ICDE is configured to perform delta prediction on the compression unit to generate a delta predicted compression unit, compress the delta predicted compression unit using exponential Golomb coding to generate a compressed delta predicted compression unit, and add the compressed delta predicted compression unit to the compressed bit stream.
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Patent Agency Ranking
公开(公告)号：US20190244036A1
公开(公告)日：2019-08-08
申请号：US16268200
申请日：2019-02-05
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Hrushikesh Tukaram Garud , Manu Mathew , Soyeb Noormohammed Nagori
CPC classification number: G06K9/00791 , G06K9/00758 , G06K9/52 , G06T7/207 , G06T7/223 , G06T7/238 , G06T7/269 , G06T2207/10016 , G06T2207/20016 , G06T2207/20032 , H04N19/53
Abstract: An image processing system includes a processor and optical flow (OF) determination logic for quantifying relative motion of a feature present in a first frame of video and a second frame of video that provide at least one of temporally and spatially ordered images with respect to the two frames of video. The OF determination logic configures the processor to implement performing OF estimation between the first frame and second frame using a pyramidal block matching (PBM) method to generate an initial optical flow (OF) estimate at a base pyramid level having integer pixel resolution, and refining the initial OF estimate using at least one pass of a modified Lucas-Kanade (LK) method to provide a revised OF estimate having fractional pixel resolution.
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公开(公告)号：US10268901B2
公开(公告)日：2019-04-23
申请号：US15081118
申请日：2016-03-25
Applicant: Texas Instruments Incorporated
Inventor： Hrushikesh Tukaram Garud , Manu Mathew , Soyeb Noormohammed Nagori
Abstract: An image processing system includes a processor and optical flow (OF) determination logic for quantifying relative motion of a feature present in a first frame of video and a second frame of video that provide at least one of temporally and spatially ordered images with respect to the two frames of video. The OF determination logic configures the processor to implement performing OF estimation between the first frame and second frame using a pyramidal block matching (PBM) method to generate an initial optical flow (OF) estimate at a base pyramid level having integer pixel resolution, and refining the initial OF estimate using at least one pass of a modified Lucas-Kanade (LK) method to provide a revised OF estimate having fractional pixel resolution.
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公开(公告)号：US10055674B2
公开(公告)日：2018-08-21
申请号：US15073940
申请日：2016-03-18
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Hrushikesh Tukaram Garud , Soyeb Noormohammed Nagori
CPC classification number: G06K9/6282 , G06K9/00791 , G06T5/002 , G06T5/20 , G06T7/269 , G06T2207/10016 , G06T2207/20076 , G06T2207/30168
Abstract: A confidence map for optical flow gradients is constructed calculating a set of gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.
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公开(公告)号：US20170206665A1
公开(公告)日：2017-07-20
申请号：US15169153
申请日：2016-05-31
Applicant: Texas Instruments Incorporated
Inventor： Manu Mathew , Hrushikesh Tukaram Garud , Soyeb Noormohammed Nagori
CPC classification number: G06T7/269 , G06K9/00791 , G06K9/4609 , G06K9/481 , G06K9/6282 , G06T5/002 , G06T7/2033 , G06T7/2066 , G06T7/215 , G06T7/246 , G06T2207/30252
Abstract: A confidence map for optical flow gradients is constructed calculating a set of census texture gradients for each pixel of an image, filtering said gradients and extracting confidence values from said gradients using a plurality of decision tree classifiers. A confidence map is then generated from said confidence values.
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公开(公告)号：US20240386602A1
公开(公告)日：2024-11-21
申请号：US18785164
申请日：2024-07-26
Applicant: Texas Instruments Incorporated
Inventor： Hrushikesh Tukaram Garud , Deepak Poddar , Soyeb Noormohammed Nagori
Abstract: Techniques for localizing a vehicle include obtaining an image from a camera, identifying a set of image feature points in the image, obtaining an approximate location of the vehicle, determining a set of sub-volumes (SVs) of a map to access based on the approximate location, obtaining map feature points and associated map feature descriptors associated with the set of SVs, determining a set of candidate matches between the set of image feature points and the obtained map feature points, determining a set of potential poses of the camera from candidate matches from the set of candidate matches and an associated reprojection error estimated for remaining points to select a first pose of the set of potential poses having a lowest associated reprojection error, determining the first pose is within a threshold value of an expected vehicle location, and outputting a vehicle location based on the first pose.
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