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Fitting a Single Active Appearance Model Simultaneously to Multiple Images
C. Hu, J. Xiao, I. Matthews, S. Baker, J. Cohn, and T. Kanade
Proceedings of the British Machine Vision Conference, September, 2004.

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Active Appearance Models (AAMs) are a well studied 2D deformable model. One recently proposed extension of AAMs to multiple images is the Coupled-View AAM. Coupled-View AAMs model the 2D shape and appearance of a face in two or more views simultaneously. The major limitation of Coupled-View AAMs, however, is that they are specific to a particular set of cameras, both in geometry and the photometric responses. In this paper, we describe how a single AAM can be fit to multiple images, captured simultaneously by cameras with arbitrary geometry and response functions. Our algorithm retains the major benefits of Coupled-View AAMs:~the integration of information from multiple images into a single model, and improved fitting robustness.

Sponsor: U.S.\ DoD contract N41756-03-C4024, NIMH grant R01 MH51435, and DENSO Corporation

Associated center: VASC
Associated labs/groups: People Image Analysis Consortium, Vision for Safe Driving, Face Group, and Human Sensing
Associated projects: AAM Fitting Algorithms and Face Model Building and Fitting

C. Hu, J. Xiao, I. Matthews, S. Baker, J. Cohn, and T. Kanade, "Fitting a Single Active Appearance Model Simultaneously to Multiple Images," Proceedings of the British Machine Vision Conference, September, 2004.

@inproceedings{Hu_2004_4735,
   author = "Changbo Hu and Jing Xiao and Iain Matthews and Simon Baker and Jeffrey Cohn and Takeo Kanade",
   title = "Fitting a Single Active Appearance Model Simultaneously to Multiple Images",
   booktitle = "Proceedings of the British Machine Vision Conference",
   month = "September",
   year = "2004"
}