公开(公告)号：US20170161565A1

公开(公告)日：2017-06-08

申请号：US15081118

申请日：2016-03-25

Applicant: Texas Instruments Incorporated

Inventor： HRUSHIKESH TUKARAM GARUD ,  MANU MATHEW ,  SOYEB NOORMOHAMMED NAGORI

IPC: G06K9/00 ,  H04N19/513 ,  G06K9/52 ,  G06T7/60 ,  G06T7/20 ,  G06K9/66

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.

公开(公告)号：US20230206604A1

公开(公告)日：2023-06-29

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

IPC: G06V10/77 ,  G06T3/40 ,  G06V10/48 ,  G06V10/46

CPC classification number: G06V10/7715 ,  G06T3/4046 ,  G06V10/48 ,  G06V10/462 ,  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.

公开(公告)号：US20220180476A1

公开(公告)日：2022-06-09

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: G06T3/40 ,  G06K9/46

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.