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.
Supported by grants from the German Federal Ministry for Science and Technology (4135839-01 IN 101 B9) and from ARPA and the U.S. Army Research Lab (01/93/K-109).
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
BUHMANN, J., LANGE, J., VON DER MALSBURG, C., VORBRüGGEN, J. C., AND Würtz R. P. Object recognition with Gabor functions in the dynamic link architecture: Parallel implementation on a transputer network. In Neural Networks for Signal Processing, B. Kosko, Ed. Prentice Hall, Englewood Cliffs, NJ 07632, 1992, pp. 121–159.
KRüGER, N. An algorithm for the learning of weights in discrimination functions using a priori constraints. accepted for publication in IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997.
LADES, M., VORBRÜGGEN, J. C., BUHMANN, J., LANGE, J., VON DER MALSBURG, C., WüRTz, R. P., and KONEN, W. Distortion invariant object recognition in the dynamic link architecture. IEEE Transactions on Computers 42, 3 (1993), 300–311.
MAURER, T., AND VON DER MALSBURG, C. Linear feature transformations to recognize faces rotated in depth. In Proceedings of the International Conference on Artificial Neural Networks, ICANN'95 (Paris, Oct. 1995), pp. 353–358.
PHILLIPS, P. J., RAUSS, P. J., AND DER, S. Z. FERET (face recognition technology) recognition algorithm development and test report. Tech. Rep. ARL-TR-995, U. S. Army Research Laboratory, 2800 Powder Mill Road, Adelphi, MD 20783-1197, Oct. 1996.
RAUSS, P. J., PHILLIPS, J., HAMILTON, M. K., AND DEPERSIA, A. T. FERET (face-recognition technology) recognition algorithms. In Proc. of the Fifth Automatic Target Recognizer System and Technology Symposium. (1996).
WISKOTT, L. Phantom faces for face analysis. Pattern Recognition 30, 6 (1996).
WISKOTT, L., FELLOUS, J.-M., KRÜGER, N., AND VON DER MALSBURG, C. Face recognition by elastic bunch graph matching. Tech. Rep. IR-INI 96-08, Institut für Neuroinformatik, Ruhr-Universitiit Bochum, D-44780 Bochum, Germany, 1996.
Author information
Authors and Affiliations
Corresponding author
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wiskott, L., Fellous, JM., Krüger, N., von der Malsburg, C. (1997). Face recognition by elastic bunch graph matching. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_150
Download citation
DOI: https://doi.org/10.1007/3-540-63460-6_150
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63460-7
Online ISBN: 978-3-540-69556-1
eBook Packages: Springer Book Archive