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公开(公告)号：US10949694B2
公开(公告)日：2021-03-16
申请号：US16580434
申请日：2019-09-24
Applicant: Texas Instruments Incorporated
Inventor： Deepak Kumar Poddar , Pramod Kumar Swami
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.
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公开(公告)号：US10186024B2
公开(公告)日：2019-01-22
申请号：US15197749
申请日：2016-06-29
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Nagori , Manu Mathew , Prashanth Ramanathpur Viswanath , Deepak Kumar Poddar
Abstract: Methods and systems providing for real time structure from motion (SfM) processing in a computer vision system receiving images from a monocular camera are disclosed. The real time SfM processing described exploits constraints of the three dimensional (3D) environment that can be assumed for automotive applications and other applications with similar constraints.
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公开(公告)号：US20170191826A1
公开(公告)日：2017-07-06
申请号：US15255832
申请日：2016-09-02
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Nagori , Poorna Kumar , Manu Mathew , Prashanth Ramanathpur Viswanath , Deepak Kumar Poddar
CPC classification number: G01C3/08 , B60R11/04 , G01C5/00 , G01C21/26 , G06K9/00791 , G06K9/623 , G06T7/579 , G06T7/73 , G06T7/77 , G06T2207/10028 , G06T2207/20076 , G06T2207/30244 , G06T2207/30252
Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
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公开(公告)号：US11704391B2
公开(公告)日：2023-07-18
申请号：US17487517
申请日：2021-09-28
Applicant: TEXAS INSTRUMENTS INCORPORATED
Inventor： Deepak Kumar Poddar , Mihir Mody , Veeramanikandan Raju , Jason A. T. Jones
CPC classification number: G06F21/16 , G06F21/121 , G06N3/047 , G06N20/00
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.
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公开(公告)号：US11615629B2
公开(公告)日：2023-03-28
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
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.
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Patent Agency Ranking
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
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.
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公开(公告)号：US20210250595A1
公开(公告)日：2021-08-12
申请号：US17242433
申请日：2021-04-28
Applicant: Texas Instruments Incorporated
Inventor： Uday Pudipeddi Kiran , Deepak Kumar Poddar , Pramod Kumar Swami , Arun Shankar Kudana
IPC: H04N19/423 , H04N19/577 , H04N19/177 , H04N19/44
Abstract: Several methods and systems for facilitating multimedia data encoding are disclosed. In an embodiment, a plurality of picture buffers associated with multimedia data are received in an order of capture associated with the plurality of picture buffers. Buffer information is configured for each picture buffer from among the plurality of picture buffers comprising at least one of a metadata associated with the corresponding picture buffer and one or more encoding parameters for the corresponding picture buffer. A provision of picture buffers in an order of encoding is facilitated based on the configured buffer information.
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公开(公告)号：US20200374564A1
公开(公告)日：2020-11-26
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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公开(公告)号：US10156441B2
公开(公告)日：2018-12-18
申请号：US15255832
申请日：2016-09-02
Applicant: Texas Instruments Incorporated
Inventor： Soyeb Nagori , Poorna Kumar , Manu Mathew , Prashanth Ramanathpur Viswanath , Deepak Kumar Poddar
Abstract: Estimation of the ground plane of a three dimensional (3D) point cloud based modifications to the random sample consensus (RANSAC) algorithm is provided. The modifications may include applying roll and pitch constraints to the selection of random planes in the 3D point cloud, using a cost function based on the number of inliers in the random plane and the number of 3D points below the random plane in the 3D point cloud, and computing a distance threshold for the 3D point cloud that is used in determining whether or not a 3D point in the 3D point cloud is an inlier of a random plane.
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20.发明申请公开(公告)号：US20170193669A1
公开(公告)日：2017-07-06
申请号：US15266149
申请日：2016-09-15
Applicant: Texas Instruments Incorporated
Inventor： Deepak Kumar Poddar , Anshu Jain , Desappan Kumar , Pramod Kumar Swami
Abstract: A method for sparse optical flow based tracking in a computer vision system is provided that includes detecting feature points in a frame captured by a monocular camera in the computer vision system to generate a plurality of detected feature points, generating a binary image indicating locations of the detected feature points with a bit value of one, wherein all other locations in the binary image have a bit value of zero, generating another binary image indicating neighborhoods of currently tracked points, wherein locations of the neighborhoods in the binary image have a bit value of zero and all other locations in the binary image have a bit value of one, and performing a binary AND of the two binary images to generate another binary image, wherein locations in the binary image having a bit value of one indicate new feature points detected in the frame.
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