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    Efficient feature point selection
    11.
    发明授权
    Efficient feature point selection 有权

    公开(公告)号：US09747515B2

    公开(公告)日：2017-08-29

    申请号：US14794916

    申请日：2015-07-09

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Kumar Desappan ,  Prashanth R. Viswanath ,  Pramod Kumar Swami

    IPC: G06K9/46 ,  G06T9/20 ,  G06K9/00 ,  G06T7/73

    CPC classification number: G06K9/4671 ,  G06K9/00973 ,  G06T7/73 ,  G06T9/20 ,  G06T2207/10004 ,  G06T2207/20164

    Abstract: Systems and methods are provided for selecting feature points within an image. A plurality of candidate feature points are identified in the image. A plurality of feature points are selected for each of the plurality of candidate feature points, a plurality of sets of representative pixels. For each set of representative pixels, a representative value is determined as one of a maximum chromaticity value and a minimum chromaticity value from the set of representative pixels. A score is determined for each candidate feature point from the representative values for the plurality of sets of representative pixels associated with the candidate feature point. The feature points are selected according to the determined scores for the plurality of candidate feature points.

    METHODS OF BATCH-BASED DNN PROCESSING FOR EFFICIENT ANALYTICS
    12.
    发明公开
    METHODS OF BATCH-BASED DNN PROCESSING FOR EFFICIENT ANALYTICS 审中-公开

    公开(公告)号：US20240046413A1

    公开(公告)日：2024-02-08

    申请号：US18175185

    申请日：2023-02-27

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Pramod Swami ,  Anshu Jain ,  Eppa Praveen Reddy ,  Kumar Desappan ,  Soyeb Nagori ,  Arthur Redfern

    IPC: G06T3/40

    CPC classification number: G06T3/4046

    Abstract: Technology is disclosed herein to execute an inference model by a processor which includes a reshape layer. In an implementation, the reshape layer of the inference model receives an output produced by a previous layer of the inference model and inserts padding into the output, then supplies the padded output as an input to a next layer of the inference model. In an implementation, the inference model includes a stitching layer at the beginning of the inference model and an un-stitch layer at the end of the model. The stitching layer of the inference model stitches together multiple input images into an image batch and supplies the image batch as an input to a subsequent layer. The un-stitch layer receives output from a penultimate layer of the inference model and unstitches the output to produce multiple output images corresponding to the multiple input images.

    Video object detection
    14.
    发明授权
    Video object detection 有权

    公开(公告)号：US11688078B2

    公开(公告)日：2023-06-27

    申请号：US17093681

    申请日：2020-11-10

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Soyeb Noormohammed Nagori ,  Manu Mathew ,  Kumar Desappan ,  Pramod Kumar Swami

    IPC: G06T7/00 ,  G06T7/20 ,  G06T7/70

    CPC classification number: G06T7/20 ,  G06T7/70 ,  G06T2207/10016

    Abstract: A method for video object detection includes detecting an object in a first video frame, and selecting a first interest point and a second interest point of the object. The first interest point is in a first region of interest located at a first corner of a box surrounding the object. The second interest point is in a second region of interest located at a second corner of the box. The second corner is diagonally opposite the first corner. A first optical flow of the first interest point and a second optical flow of the second interest point are determined. A location of the object in a second video frame is estimated by determining, in the second video frame, a location of the first interest point based on the first optical flow and a location of the second interest point based on the second optical flow.

    Systems and methods for image feature extraction
    15.
    发明授权
    Systems and methods for image feature extraction 有权

    公开(公告)号：US11615612B2

    公开(公告)日：2023-03-28

    申请号：US17112096

    申请日：2020-12-04

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Deepak Kumar Poddar ,  Soyeb Nagori ,  Hrushikesh Tukaram Garud ,  Kumar Desappan

    IPC: G06V10/77 ,  G06T3/40 ,  G06V10/48 ,  G06V10/46 ,  G06N3/08 ,  G06N3/084

    Abstract: This description relates to image feature extraction. In some examples, a system can include a keypoint detector and a feature list generator. The keypoint detector can be configured to upsample a keypoint score map to produce an upsampled keypoint score map. The keypoint score map can include feature scores indicative of a likelihood of at least one feature being present at keypoints in an image. The feature list generator can be configured to identify a subset of keypoints of the keypoints in the image using the feature scores of the up sampled keypoint score map, determine descriptors for the subset of keypoints based on a feature description map, and generate a keypoint descriptor map for the image based on the determined descriptors.

    Efficient feature point selection
    16.
    发明授权
    Efficient feature point selection 有权

    公开(公告)号：US10102445B2

    公开(公告)日：2018-10-16

    申请号：US15688458

    申请日：2017-08-28

    Applicant: Texas Instruments Incorporated

    Inventor： Kumar Desappan ,  Prashanth R. Viswanath ,  Pramod Kumar Swami

    IPC: G06K9/48 ,  G06K9/46 ,  G06T7/73 ,  G06K9/00 ,  G06T9/20

    Abstract: Systems and methods are provided for selecting feature points within an image. A plurality of candidate feature points are identified in the image. A plurality of feature points are selected for each of the plurality of candidate feature points, a plurality of sets of representative pixels. For each set of representative pixels, a representative value is determined as one of a maximum chromaticity value and a minimum chromaticity value from the set of representative pixels. A score is determined for each candidate feature point from the representative values for the plurality of sets of representative pixels associated with the candidate feature point. The feature points are selected according to the determined scores for the plurality of candidate feature points.

    EFFICIENT FEATURE POINT SELECTION
    17.
    发明申请
    EFFICIENT FEATURE POINT SELECTION 审中-公开

    公开(公告)号：US20170357874A1

    公开(公告)日：2017-12-14

    申请号：US15688458

    申请日：2017-08-28

    Applicant: Texas Instruments Incorporated

    Inventor： Kumar Desappan ,  Prashanth R. Viswanath ,  Pramod Kumar Swami

    IPC: G06K9/46 ,  G06K9/00 ,  G06T9/20 ,  G06T7/73

    CPC classification number: G06K9/4671 ,  G06K9/00973 ,  G06T7/73 ,  G06T9/20 ,  G06T2207/10004 ,  G06T2207/20164

    Abstract: Systems and methods are provided for selecting feature points within an image. A plurality of candidate feature points are identified in the image. A plurality of feature points are selected for each of the plurality of candidate feature points, a plurality of sets of representative pixels. For each set of representative pixels, a representative value is determined as one of a maximum chromaticity value and a minimum chromaticity value from the set of representative pixels. A score is determined for each candidate feature point from the representative values for the plurality of sets of representative pixels associated with the candidate feature point. The feature points are selected according to the determined scores for the plurality of candidate feature points.

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