NDLI: Robust pose normalization for face recognition under varying views

Content Provider	IEEE Xplore Digital Library
Author	Biao Wang Xuetao Feng Lujin Gong Hao Feng Wonjun Hwang Jae-Joon Han
Copyright Year	2015
Description	Author affiliation: Samsung R&D Inst., Beijing, China (Biao Wang; Xuetao Feng; Lujin Gong; Hao Feng) \|\| Samsung Adv. Inst. of Technol., Yongin, South Korea (Wonjun Hwang; Jae-Joon Han)
Abstract	Unconstrained face recognition under varying views is one of the most challenging tasks, since the difference in appearances caused by poses may be even larger than that due to identity. In this paper, we exploit and analyze a novel pose normalization scheme for facial images under varying views via robust 3D shape reconstruction from single, unconstrained photos in the wild. Specifically, to address the problem of ambiguous 2D-to-3D landmark correspondence and imperfect landmark detector, for each input 2D face, the 3D shape is suggested to be learned by iteratively refining the 3D landmarks and the weighting coefficients of each landmark. Experimental results on both LFW and a large-scale self-collected face databases demonstrate that the proposed approach performs better than the existing representative technologies.
Starting Page	1648
Ending Page	1652
File Size	2430905
Page Count	5
File Format	PDF
e-ISBN	9781479983391
DOI	10.1109/ICIP.2015.7351080
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-27
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Face Shape Reliability Face recognition Solid modeling Mobile communication shape fitting Pose normalization face recognition 3D morphable model
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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