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Three-dimensional face recognition: An Eigensurface approach

By T Heseltine, N Pears and J Austin


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

Publisher: IEEE
Year: 2004
DOI identifier: 10.1109/ICIP.2004.1419769
OAI identifier:

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