Facial feature tracking with the super image vector inner product

Wei Su; Laurence G. Hassebrook; S. Hariharan

doi:10.1117/12.719615

7 May 2007 Facial feature tracking with the super image vector inner product

Wei Su, Laurence G. Hassebrook, S. Hariharan

Author Affiliations +

Proceedings Volume 6566, Automatic Target Recognition XVII; 656618 (2007) https://doi.org/10.1117/12.719615
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

We overview a technique known as Super Image Vector Inner Product as applied to Facial pose estimation. The method is mathematically similar to correlation based methods but is numerically more efficient. The Vector Inner Product approach attains its pose and position estimation by embedding these distortions in its phase response. We demonstrate for the first time, that that the Super Image Vector Inner Product can be used for facial identification. We present a method by which segmenting the face into a set of feature regions, individual Super Images can be combined together using mesh techniques to track facial expressions.

Citation Download Citation

Wei Su, Laurence G. Hassebrook, and S. Hariharan "Facial feature tracking with the super image vector inner product", Proc. SPIE 6566, Automatic Target Recognition XVII, 656618 (7 May 2007); https://doi.org/10.1117/12.719615

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