Invention Grant
- Patent Title: Structurally matching images by hashing gradient singularity descriptors
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Application No.: US16652799Application Date: 2019-12-19
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Publication No.: US11640702B2Publication Date: 2023-05-02
- Inventor: Olivier Desprez
- Applicant: SOLYSTIC
- Applicant Address: FR Bagneux
- Assignee: SOLYSTIC
- Current Assignee: SOLYSTIC
- Current Assignee Address: FR Bagneux
- Agency: Ware, Fressola, Maguire & Barber LLP
- Priority: FR1874212 20181227
- International Application: PCT/EP2019/086413 WO 20191219
- International Announcement: WO2020/136091 WO 20200702
- Main IPC: G06V10/25
- IPC: G06V10/25 ; G06V30/424 ; H04L9/06 ; G06T7/33

Abstract:
The method of matching digital images of the same article in a data processor unit comprises the steps of: transforming each digital image of an article into a local divergence topographic map of the luminance gradient vector field; detecting singularities or extrema of local divergence in the luminance gradient vector field, such singularities corresponding to points of interest in said digital image; and, for each detected point of interest, encoding the values for the singularity of the gradient field that are located on a plurality of concentric rings centered on the point of interest so as to derive a digital data vector (210); and transforming said vector into a digital hash key (220) by means of a family of hash functions of the cosine Locality-Sensitive Hashing (LSH) type.
Public/Granted literature
- US20210044424A1 STRUCTURALLY MATCHING IMAGES BY HASHING GRADIENT SINGULARITY DESCRIPTORS Public/Granted day:2021-02-11
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