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    Estimation of Time to Collision in a Computer Vision System
    3.
    发明申请
    Estimation of Time to Collision in a Computer Vision System 审中-公开

    公开(公告)号：US20200026933A1

    公开(公告)日：2020-01-23

    申请号：US16272415

    申请日：2019-02-11

    Applicant: Texas Instruments Incorporated

    Inventor： Prashanth Ramanathpur Viswanath ,  Deepak Kumar Poddar ,  Soyeb Nagori ,  Manu Mathew

    IPC: G06K9/00

    Abstract: A method for estimating time to collision (TTC) of a detected object in a computer vision system is provided that includes determining a three dimensional (3D) position of a camera in the computer vision system, determining a 3D position of the detected object based on a 2D position of the detected object in an image captured by the camera and an estimated ground plane corresponding to the image, computing a relative 3D position of the camera, a velocity of the relative 3D position, and an acceleration of the relative 3D position based on the 3D position of the camera and the 3D position of the detected object, wherein the relative 3D position of the camera is relative to the 3D position of the detected object, and computing the TTC of the detected object based on the relative 3D position, the velocity, and the acceleration.

    Efficient SIMD implementation of 3X3 non maxima suppression of sparse 2D image feature points
    4.
    发明授权
    Efficient SIMD implementation of 3X3 non maxima suppression of sparse 2D image feature points 有权

    公开(公告)号：US10521688B2

    公开(公告)日：2019-12-31

    申请号：US15989551

    申请日：2018-05-25

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Deepak Kumar Poddar ,  Pramod Kumar Swami ,  Prashanth Viswanath

    IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

    Abstract: This invention transforms a list of feature points in raster scan order into a list of maxima suppressed feature points. A working buffer has two more entries than the width of the original image. Each entry is assigned to an x coordinate of the original image. Each entry stores a combined y coordinate and reliability score for each feature point in the original list. This process involves a forward scan and a backward scan. For each original feature point its x coordinate defines the location within the working buffer where neighbor feature points would be stored if they exist. The working buffer initial data and the y coordinates assure a non-suppress comparison result if the potential neighbors are not actual neighbors. For actual neighbor data, the y coordinates match and the comparison result depends solely upon the relative reliability scores.

    Method and apparatus for determining summation of pixel characteristics for rectangular region of digital image avoiding non-aligned loads using multiple copies of input data
    5.
    发明授权
    Method and apparatus for determining summation of pixel characteristics for rectangular region of digital image avoiding non-aligned loads using multiple copies of input data 有权

    公开(公告)号：US10460189B2

    公开(公告)日：2019-10-29

    申请号：US16273930

    申请日：2019-02-12

    Applicant: Texas Instruments Incorporated

    Inventor： Deepak Kumar Poddar ,  Pramod Kumar Swami

    IPC: G06K9/00 ,  G06K9/46

    Abstract: A method of determining a summation of pixel characteristics for a rectangular region of a digital image includes determining if a base address for a data element in an integral image buffer is aligned for an SIMD operation by a processor embedded in an electronic assembly configured to perform Haar-like feature calculations. The data element represents a corner of the rectangular region of an integral image. The integral image is a representation of the digital image. The integral image is formed by data elements stored in the integral image buffer. The data element is loaded from the integral image buffer to the processor when the base address is aligned for the SIMD operation. An offset data element of an offset integral image is loaded from an offset integral buffer when the base address is non-aligned for the SIMD operation. The offset data element represents the corner of the rectangular region.

    METHOD AND APPARATUS FOR NOISE REDUCTION IN VIDEO SYSTEMS
    6.
    发明申请
    METHOD AND APPARATUS FOR NOISE REDUCTION IN VIDEO SYSTEMS 审中-公开
    在视频系统中减少噪声的方法和装置

    公开(公告)号：US20150023436A1

    公开(公告)日：2015-01-22

    申请号：US14337669

    申请日：2014-07-22

    Applicant: Texas Instruments Incorporated

    Inventor： Soyeb Nagori ,  Shyam Jagannathan ,  Deepak Kumar Poddar ,  Arun Shankar Kudana ,  Pramod Swami ,  Manoj Koul

    IPC: H04N19/86 ,  H04N19/583

    CPC classification number: H04N19/86 ,  H04N19/117 ,  H04N19/139 ,  H04N19/176 ,  H04N19/82

    Abstract: The disclosure provides a noise filter. The noise filter includes a motion estimation (ME) engine. The ME receives a current frame and a reference frame. The current frame comprising a current block and the reference frame includes a plurality of reference blocks. The ME engine generates final motion vectors. The current block comprises a plurality of current pixels. A motion compensation unit generates a motion compensated block based on the final motion vectors and the reference frame. The motion compensated block includes a plurality of motion compensated pixels. A weighted average filter multiplies each current pixel of the plurality current pixels and a corresponding motion compensated pixel of the plurality of motion compensated pixels with a first weight and a second weight respectively. The weighted average filter generates a filtered block. A blockiness removal unit is coupled to the weighted average filter and removes artifacts in the filtered block.

    Abstract translation: 本公开提供了一种噪声滤波器。 噪声滤波器包括运动估计（ME）引擎。 ME接收当前帧和参考帧。 包括当前块和参考帧的当前帧包括多个参考块。 ME引擎生成最终的运动矢量。 当前块包括多个当前像素。 运动补偿单元基于最终运动矢量和参考帧产生运动补偿块。 运动补偿块包括多个运动补偿像素。 加权平均滤波器分别乘以第一权重和第二权重的多个当前像素中的每个当前像素和多个运动补偿像素的对应运动补偿像素。 加权平均滤波器生成滤波块。 块去除单元耦合到加权平均滤波器并去除滤波块中的伪像。

    Machine learning model with watermarked weights
    7.
    发明授权
    Machine learning model with watermarked weights 有权

    公开(公告)号：US11163861B2

    公开(公告)日：2021-11-02

    申请号：US16188560

    申请日：2018-11-13

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Deepak Kumar Poddar ,  Mihir Mody ,  Veeramanikandan Raju ,  Jason A. T. Jones

    IPC: G06F21/00 ,  G06F21/16 ,  G06N3/04 ,  G06N20/00 ,  G06F21/12

    Abstract: In some examples, a system includes storage storing a machine learning model, wherein the machine learning model comprises a plurality of layers comprising multiple weights. The system also includes a processing unit coupled to the storage and operable to group the weights in each layer into a plurality of partitions; determine a number of least significant bits to be used for watermarking in each of the plurality of partitions; insert one or more watermark bits into the determined least significant bits for each of the plurality of partitions; and scramble one or more of the weight bits to produce watermarked and scrambled weights. The system also includes an output device to provide the watermarked and scrambled weights to another device.

    Estimation of Time to Collision in a Computer Vision System
    8.
    发明申请
    Estimation of Time to Collision in a Computer Vision System 有权

    公开(公告)号：US20210287021A1

    公开(公告)日：2021-09-16

    申请号：US17195915

    申请日：2021-03-09

    Applicant: Texas Instruments Incorporated

    Inventor： Prashanth Ramanathpur Viswanath ,  Deepak Kumar Poddar ,  Soyeb Nagori ,  Manu Mathew

    IPC: G06K9/00

    Abstract: A method for estimating time to collision (TTC) of a detected object in a computer vision system is provided that includes determining a three dimensional (3D) position of a camera in the computer vision system, determining a 3D position of the detected object based on a 2D position of the detected object in an image captured by the camera and an estimated ground plane corresponding to the image, computing a relative 3D position of the camera, a velocity of the relative 3D position, and an acceleration of the relative 3D position based on the 3D position of the camera and the 3D position of the detected object, wherein the relative 3D position of the camera is relative to the 3D position of the detected object, and computing the TTC of the detected object based on the relative 3D position, the velocity, and the acceleration.

    Method and apparatus for noise reduction in video systems
    9.
    发明授权
    Method and apparatus for noise reduction in video systems 有权

    公开(公告)号：US11051046B2

    公开(公告)日：2021-06-29

    申请号：US16988978

    申请日：2020-08-10

    Applicant: Texas Instruments Incorporated

    Inventor： Soyeb Nagori ,  Shyam Jagannathan ,  Deepak Kumar Poddar ,  Arun Shankar Kudana ,  Pramod Swami ,  Manoj Koul

    IPC: H04N19/86 ,  H04N19/176 ,  H04N19/117 ,  H04N19/139 ,  H04N19/82

    Abstract: The disclosure provides a noise filter. The noise filter includes a motion estimation (ME) engine. The ME receives a current frame and a reference frame. The current frame comprising a current block and the reference frame includes a plurality of reference blocks. The ME engine generates final motion vectors. The current block comprises a plurality of current pixels. A motion compensation unit generates a motion compensated block based on the final motion vectors and the reference frame. The motion compensated block includes a plurality of motion compensated pixels. A weighted average filter multiplies each current pixel of the plurality of current pixels and a corresponding motion compensated pixel of the plurality of motion compensated pixels with a first weight and a second weight respectively. The weighted average filter generates a filtered block. A blockiness removal unit is coupled to the weighted average filter and removes artifacts in the filtered block.

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