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Abstract: This paper presents a method to recover the full-motion (3 rotations and 3 translations) of the head using a cylindrical model. The robustness of the approach is achieved by a combination of three techniques. First, we use the iteratively re-weighted least squares (IRLS) technique in conjunction with the image gradient to deal with non-rigid motion and occlusion. Second, while tracking, the templates are dynamically updated to diminish the effects of self-occlusion and gradual lighting changes... (Update)
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BibTeX entry: (Update)
Xiao, J., Kanade, T., &Cohn, J.F. (May 2002). Robust full motion recovery of head by dynamic templates and re-registration techniques. Proceedings of the IEEE Conference on Automatic Face and Gesture Recognition, 5, xxx-xxx. Washington, DC. 81 http://citeseer.ist.psu.edu/xiao02robust.html More
@misc{ xiao02robust,
author = "J. Xiao and T. Kanade and J. Cohn",
title = "Robust full motion recovery of head by dynamic templates and re-registration
techniques",
text = "Xiao, J., Kanade, T., &Cohn, J.F. (May 2002). Robust full motion recovery
of head by dynamic templates and re-registration techniques. Proceedings
of the IEEE Conference on Automatic Face and Gesture Recognition, 5, xxx-xxx.
Washington, DC. 81",
year = "2002",
url = "citeseer.ist.psu.edu/xiao02robust.html" }
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