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Three-dimensional face recognition: An Eigensurface approach

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Title of host publicationICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
DatePublished - 2004
Pages1421-1424
Number of pages4
PublisherIEEE
Place of PublicationNEW YORK
Volume2
Original languageEnglish
ISBN (Print)0-7803-8554-3

Abstract

We evaluate a new approach to face recognition using a variety of surface representations of three-dimensional facial structure. Applying principal component analysis (PCA), we show that high levels of recognition accuracy can be achieved on a large database of 3D face models, captured under conditions that present typical difficulties to more conventional two-dimensional approaches. Applying a ran-c of image processing, techniques we identify the most effective surface representation for use in such application areas as security surveillance, data compression and archive searching.

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