Abstract
This paper introduces a novel approach for face recognition using multiple face patterns obtained in various views for robot vision. A face pattern may change dramatically due to changes in the relation between the positions of a robot, a subject and light sources. As a robot is not generally able to ascertain such changes by itself, face recognition in robot vision must be robust against variations caused by the changes. Conventional methods using a single face pattern are not capable of dealing with the variations of face pattern. In order to overcome the problem, we have developed a face recognition method based on the constrained mutual subspace method (CMSM) using multi-viewpoint face patterns attributable to the movement of a robot or a subject. The effectiveness of our method for robot vision is demonstrated by means of a preliminary experiment.
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© 2005 Springer-Verlag Berlin Heidelberg
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Fukui, K., Yamaguchi, O. (2005). Face Recognition Using Multi-viewpoint Patterns for Robot Vision. In: Dario, P., Chatila, R. (eds) Robotics Research. The Eleventh International Symposium. Springer Tracts in Advanced Robotics, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11008941_21
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DOI: https://doi.org/10.1007/11008941_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23214-8
Online ISBN: 978-3-540-31508-7
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