Lab Meeting 8 March 2007 (Casey): A Multiview Face Identification Model With No Geometric Constraints

Title: A Multiview Face Identification Model With No Geometric Constraints
Author:Jerry Jun Yokono, Sony Intelligence Dynamics Laboratories, Inc., Japan
　　　　　　Tomaso Poggio, M.I.T.
Source: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition (FGR06)

Abstract:
Face identification systems relying on local descriptors areincreasingly used because of their perceived robustness withrespect to occlusions and to global geometrical deformations.Descriptors of this type – based on a set of oriented Gaussian derivative filters – are used in our identification system. In this paper, we explore a pose-invariant multiview face identification system that does not use explicit geometrical information. The basic idea of the approach is to find discriminant features to describe a face across different views. A boosting procedure is used to select features out of a large feature pool of local features collected from the positive training examples. We describe experiments on well-known, though small, face databases with excellent recognition rate.

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