NDLI: Recognizing Occluded 3D Faces Using an Efficient ICP Variant

Content Provider	IEEE Xplore Digital Library
Author	Peijiang Liu Yunhong Wang Di Huang Zhaoxiang Zhang
Copyright Year	2012
Abstract	This paper proposes an efficient variant of the Iterative Closest Point (ICP) algorithm for 3D face recognition in the presence of occlusion. The new ICP variant improves the original one in two aspects: the computational efficiency and the robustness to occlusion changes. For the former one, a facial surface is firstly described as a Spherical Depth Map (SDM), based on which uniform down-sampling can be conveniently applied to remove redundant vertices, aiming to decrease the consumed time of ICP. For the latter one, since occlusions can be considered as face outliers, a rejection strategy is embedded into ICP to eliminate their impacts. The proposed method is validated in face verification and identification scenarios on the Bosphorus database, and the experimental results clearly demonstrate its effectiveness and efficiency.
Starting Page	350
Ending Page	355
File Size	783695
Page Count	6
File Format	PDF
ISBN	9781467316590
ISSN	19457871
DOI	10.1109/ICME.2012.158
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iterative closest point algorithm Face recognition Shape Databases Accuracy Probes Robustness occlusion 3D face recognition surface registration shape representation Iterative Closest Point
Content Type	Text
Resource Type	Article

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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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