Three-Dimensional Face Recognition Using Surface Space Combinations | Zendy

Thomas Heseltine | Zendy; Nick Pears | Zendy; J. Austin | Zendy

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Three-Dimensional Face Recognition Using Surface Space Combinations

Author(s) -

Thomas Heseltine,

Nick Pears,

J. Austin

Publication year - 2004

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5244/c.18.55

Subject(s) - facial recognition system , subspace topology , face (sociological concept) , computer science , metric (unit) , artificial intelligence , pattern recognition (psychology) , surface (topology) , set (abstract data type) , range (aeronautics) , space (punctuation) , combing , three dimensional face recognition , computer vision , face detection , mathematics , engineering , social science , geometry , sociology , operating system , operations management , cartography , geography , programming language , aerospace engineering

In this paper we test a range of three-dimensional face recognition systems, based on the fishersurface method developed in previous work. We show the effect of using a variety of facial surface representations and suggest a method of identifying and extracting useful qualities offered by each system. Combing these components into a unified surface subspace, we create a threedimensional face recognition system producing significantly lower error rates than individual systems tested on the same data. We evaluate systems by performing up to 1,079,715 verification operations on a large test set of 3D face models. Results are presented in the form of false acceptance and false rejection rates, generated by varying a decision threshold applied to a distance metric in combined surface space.

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