Invention Grant
US09235780B2 Robust keypoint feature selection for visual search with self matching score
有权
强大的关键点特征选择用于自我匹配得分的视觉搜索
- Patent Title: Robust keypoint feature selection for visual search with self matching score
- Patent Title (中): 强大的关键点特征选择用于自我匹配得分的视觉搜索
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Application No.: US14101047Application Date: 2013-12-09
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Publication No.: US09235780B2Publication Date: 2016-01-12
- Inventor: Zhu Li , Xin Xin , Abhishek Nagar , Gaurav Srivastava , Kong Posh Bhat , Felix Carlos Fernandes
- Applicant: Samsung Electronics Co., LTD
- Applicant Address: KR Suwon-Si
- Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee Address: KR Suwon-Si
- Main IPC: G06K9/68
- IPC: G06K9/68 ; G06K9/62 ; G06K9/46

Abstract:
To improve feature selection accuracy during a visual search, interest points within a query image are two-way matched to features in an affine transformed image or otherwise transformed version of the query image. A user device implements a method for selecting local descriptors in the visual search. The method includes: detecting a first set of interest points for the original image; computing an affine transform matrix; computing a new image as a transformation of the original image using the affine transform matrix; detecting a second set of interest points from the and new image; performing a two-way matching between the first set of interest points and the second set of interest points; sorting matching pairs according to a specified self-matching score (SMS); assigning an infinite value to SMS of unmatched interest points from the original image; selecting the interest points based on SMS. Significant performance gains reduce false positive matches.
Public/Granted literature
- US20140185941A1 ROBUST KEYPOINT FEATURE SELECTION FOR VISUAL SEARCH WITH SELF MATCHING SCORE Public/Granted day:2014-07-03
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