NDLI: Robust Point Set Matching for Partial Face Recognition

Content Provider	IEEE Xplore Digital Library
Author	Renliang Weng Jiwen Lu Yap-Peng Tan
Copyright Year	1992
Abstract	Over the past three decades, a number of face recognition methods have been proposed in computer vision, and most of them use holistic face images for person identification. In many real-world scenarios especially some unconstrained environments, human faces might be occluded by other objects, and it is difficult to obtain fully holistic face images for recognition. To address this, we propose a new partial face recognition approach to recognize persons of interest from their partial faces. Given a pair of gallery image and probe face patch, we first detect keypoints and extract their local textural features. Then, we propose a robust point set matching method to discriminatively match these two extracted local feature sets, where both the textural information and geometrical information of local features are explicitly used for matching simultaneously. Finally, the similarity of two faces is converted as the distance between these two aligned feature sets. Experimental results on four public face data sets show the effectiveness of the proposed approach.
Sponsorship	IEEE Signal Processing Society
Starting Page	1163
Ending Page	1176
Page Count	14
File Size	4044978
File Format	PDF
ISSN	10577149
Volume Number	25
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Face recognition Probes Feature extraction Robustness Image recognition Histograms biometrics partial face recognition feature set matching feature alignment image matching
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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