Proc. 7th Int'l Conf. on Computer Analysis of Images and Patterns, CAIP'97, Kiel, Sep. 10-12, eds. G. Sommer, K. Daniilidis, and J. Pauli, number 1296 in Lecture Notes in Computer Science, publ. Springer-Verlag, Heidelberg, pp. 456-463 (1997-09-10) (bibtex)

Face recognition by elastic bunch graph matching.

Laurenz Wiskott, Jean-Marc Fellous, Norbert Krüger, and Christoph von der Malsburg

Abstract: We present a system for recognizing human faces from single images out of a large database with one image per person. The task is difficult because of image variation in terms of position, size, expression, and pose. The system collapses most of this variance by extracting concise face descriptions in the form of image graphs. In these, fiducial points on the face (eyes, mouth etc.) are described by sets of wavelet components (jets). Image graph extraction is based on a novel approach, the bunch graph, which is constructed from a small set of sample image graphs. Recognition is based on a straight-forward comparison of image graphs. We report recognition experiments on the FERET database and the Bochum database, including recognition across pose.

Keywords: face recognition, different poses, Gabor wavelets, elastic graph matching, bunch graph, ARPA/ARL FERET database

Relevant Project:

November 13, 1997, Laurenz Wiskott,