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    GENERIC IMAGE RESIZER USING MATRIX MULTIPLIER ACCELERATOR
    1.
    发明申请
    GENERIC IMAGE RESIZER USING MATRIX MULTIPLIER ACCELERATOR 有权

    公开(公告)号：US20220327180A1

    公开(公告)日：2022-10-13

    申请号：US17489998

    申请日：2021-09-30

    Applicant: Texas Instruments Incorporated

    Inventor： Deepak PODDAR ,  Soyeb NAGORI ,  Pramod SWAMI

    IPC: G06F17/16 ,  G06F7/78 ,  G06F9/50

    Abstract: Techniques for resizing data including receiving input data values for resizing, placing a first number of data values from a first line of data values of the input data values in a first portion of a first vector, placing the first number of data values from a second line of data values of the input data values in a second portion of the first vector, receiving a first matrix of weights, wherein each weight of the first matrix of weights corresponds to an amount of weight to apply to a data value for a point on a first line of a set of resized data, multiplying the first vector and the first matrix of weights to determine data values for the first line of the set of resized data, and outputting the set of resized data.

    ENHANCED MACHINE LEARNING MODEL FOR JOINT DETECTION AND MULTI PERSON POSE ESTIMATION
    3.
    发明申请
    ENHANCED MACHINE LEARNING MODEL FOR JOINT DETECTION AND MULTI PERSON POSE ESTIMATION 有权

    公开(公告)号：US20230137337A1

    公开(公告)日：2023-05-04

    申请号：US17851651

    申请日：2022-06-28

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Debapriya MAJI ,  Soyeb NAGORI ,  Manu MATHEW ,  Deepak Kumar PODDAR

    IPC: G06V10/25 ,  G06V10/44 ,  G06V10/74

    Abstract: A technique for key-point detection, including receiving, by a machine learning model, an input image, generating a set of image features for the input image, determining, by the machine learning model, based on the set of image features, a bounding box for an object detected in the input image, the bounding box described by bounding box information, identifying, by the machine learning model, based on the set of image features and a center point of the bounding box, a plurality of key-points associated with the object, filtering the plurality of key-points based on a confidence score associated with each key-point of the plurality of key-points, and outputting coordinates of the plurality of key-points, confidence scores associated with the plurality of key-points, and the bounding box information.

    OBJECT DETECTION FOR DISTORTED IMAGES
    4.
    发明申请
    OBJECT DETECTION FOR DISTORTED IMAGES 有权

    公开(公告)号：US20220180642A1

    公开(公告)日：2022-06-09

    申请号：US17678411

    申请日：2022-02-23

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Deepak PODDAR ,  Soyeb NAGORI ,  Manu MATHEW ,  Debapriya MAJI

    IPC: G06V20/58 ,  G06T7/70

    Abstract: Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.

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