BMVC 2004, Kingston, 7th-9th Sept, 2004
Three-Dimensional Face Recognition Using Surface Space Combinations
T. Heseltine, N. Pears and J. Austin (The University of York)
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.