Invention Grant
- Patent Title: Matching local image feature descriptors in image analysis
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Application No.: US16376003Application Date: 2019-04-05
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Publication No.: US10885376B2Publication Date: 2021-01-05
- Inventor: Ruan Lakemond , Timothy Smith
- Applicant: Imagination Technologies Limited
- Applicant Address: GB Kings Langley
- Assignee: Imagination Technologies Limited
- Current Assignee: Imagination Technologies Limited
- Current Assignee Address: GB Kings Langley
- Agency: Potomac Law Group, PLLC
- Agent Vincent M DeLuca
- Priority: GB1805688.7 20180405
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06T7/73 ; G06K9/00 ; G06T7/593 ; G06K9/46 ; G06K9/20

Abstract:
A method of feature matching in images captured from camera viewpoints uses the epipolar geometry of the viewpoints to define a geometrically-constrained region in a second image corresponding to a first feature in a first image; comparing the local descriptor of the first feature with local descriptors of features in the second image to determine respective measures of similarity; identifying, from the features located in the geometrically-constrained region, (i) a geometric best match and (ii) a geometric next-best match to the first feature; identifying a global best match to the first feature; performing a first comparison of the measures of similarity for the geometric best match and the global best match; performing a second comparison of the measures of similarity for the geometric best match and the geometric next-best match; and, if thresholds are met, selecting the geometric best match feature in the second image.
Public/Granted literature
- US20190311214A1 Matching Local Image Feature Descriptors in Image Analysis Public/Granted day:2019-10-10
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