NDLI: Face recognition from 3D data using Iterative Closest Point algorithm and Gaussian mixture models

Content Provider	IEEE Xplore Digital Library
Author	Cook, J. Chandran, V. Sridharan, S. Fookes, C.
Copyright Year	2004
Description	Author affiliation: Image & Video Res. Lab, Queensland Univ. of Technol., Brisbane, Qld., Australia (Cook, J.; Chandran, V.; Sridharan, S.; Fookes, C.)
Abstract	An approach to face verification from 3D data is presented. The method uses 3D registration techniques designed to work with resolution levels typical of the irregular point cloud representations provided by structured light scanning. Preprocessing using a-priori information of the human face and the Iterative Closest Point algorithm are employed to establish correspondence between test and target and to compensate for the nonrigid nature of the surfaces. Statistical modelling in the form of Gaussian mixture models is used to parameterise the distribution of errors in facial surfaces after registration and is employed to differentiate between intra- and extra-personal comparison of range images. An equal error rate of 2.67% was achieved on the 30 subject manual subset of the 3d/spl I.bar/rma database.
Sponsorship	Univ. of Maryland Inst. for Advanced Comput. Studies (UMIACS) IEEE Comput. Soc
Starting Page	502
Ending Page	509
File Size	411071
Page Count	8
File Format	PDF
ISBN	0769522238
DOI	10.1109/TDPVT.2004.1335279
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-09
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face recognition Iterative closest point algorithm Humans Testing Laser modes Laser sintering Shape Support vector machines Support vector machine classification Iterative algorithms
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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