In this paper, we present a face recognition system that is able to detect, track and recognize a person walking toward a stereo camera. Integrating stereo and intensity pairs, pose can be detected and tracked. Face images, which are suitable for recognition, from stereo sequence can be selected automatically based on the pose. Then the straightforward Fisherface is carried out on the selected face images. Results of the tracking and recognition depict that this video based stereo approach provides a more robust performance since the 3D information is considered. © Springer-Verlag 2003.
CITATION STYLE
Wang, J. G., Venkateswarlu, R., & Lim, E. T. (2003). Face tracking and recognition from stereo sequence. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2688, 145–153. https://doi.org/10.1007/3-540-44887-x_18
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