Hybrid face recognition based on real-time multi-camera stereo-matching

Authors:
J. Hensler;K. Denker;M. Franz;G. Umlauf
Affiliations:
University of Applied Sciences Constance, Germany;University of Applied Sciences Constance, Germany;University of Applied Sciences Constance, Germany;University of Applied Sciences Constance, Germany
Venue:
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Year:
2011

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Abstract

Multi-camera systems and GPU-based stereo-matching methods allow for a real-time 3d reconstruction of faces. We use the data generated by such a 3d reconstruction for a hybrid face recognition system based on color, accuracy, and depth information. This system is structured in two subsequent phases: geometry-based data preparation and face recognition using wavelets and the AdaBoost algorithm. It requires only one reference image per person. On a data base of 500 recordings, our system achieved detection rates ranging from 95% to 97% with a false detection rate of 2% to 3%. The computation of the whole process takes around 1.1 seconds.