Invention Grant
- Patent Title: Dense optical flow processing in a computer vision system
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Application No.: US15638123Application Date: 2017-06-29
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Publication No.: US10467765B2Publication Date: 2019-11-05
- Inventor: Hetul Sanghvi , Mihir Narendra Mody , Niraj Nandan , Anish Reghunath , Michael Peter Lachmayr
- Applicant: Texas Instruments Incorporated
- Applicant Address: US TX Dallas
- Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee: TEXAS INSTRUMENTS INCORPORATED
- Current Assignee Address: US TX Dallas
- Agent Brian D. Graham; Charles A. Brill; Frank D. Cimino
- Main IPC: G06T7/20
- IPC: G06T7/20 ; G06T7/246 ; G06T7/269

Abstract:
A computer vision system is provided that includes an image generation device configured to generate consecutive two dimensional (2D) images of a scene, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for pairs of the consecutive 2D images, wherein, for a pair of consecutive 2D images, the DOFE is configured to perform a predictor based correspondence search for each paxel in a current image of the pair of consecutive 2D images, wherein, for an anchor pixel in each paxel, the predictor based correspondence search evaluates a plurality of predictors to select a best matching pixel in a reference image of the pair of consecutive 2D images, and determine optical flow vectors for each pixel in a paxel based on the best matching pixel selected for the anchor pixel of the paxel.
Public/Granted literature
- US20190005656A1 Dense Optical Flow Processing in a Computer Vision System Public/Granted day:2019-01-03
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