05979369

a

05979369 Hensler, J. Denker, K. Franz, M. Umlauf, G. Hybrid face recognition based on real-time multi-camera stereo-matching. Bebis, George (ed.) et al., Advances in visual computing. 7th international symposium, ISVC 2011, Las Vegas, NV, USA, September 26--28, 2011. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-24030-0/pbk). Lecture Notes in Computer Science 6939, 158-167 (2011). 2011 Berlin: Springer EN

doi:10.1007/978-3-642-24031-7_16

Summary: 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.