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Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition (2002)
Washinton D.C.
May 20, 2002 to May 21, 2002
ISBN: 0-7695-1602-5
pp: 0324
Stan Z. Li , Microsoft Research Asia
HongJiang Zhang , Microsoft Research Asia
Yan ShuiCheng , Peking University
QianSheng Cheng , Peking University
ABSTRACT
Alignment makes face distribution statistically more compact than un-aligned faces and provides a good basis for face modeling, recognition and synthesis. In this paper, we present a method for multi-view face alignment using a new model called direct appearance model (DAM). Like active appearance model (AAM), DAM also makes use of both shape and texture constraints; however, it does this without combining shape and texture as in AAM. The way that DAM models shapes and textures has the following advantages as compared to AAM: (1) DAM subspaces include admissible appearances previously unseen in AAM, (2) the convergence and accuracy are improved, and (3) the memory requirement is cut down to a large extent. Extensive experiments are presented to evaluate the DAM alignment in comparison with AAM.
INDEX TERMS
Face alignment, Multi-View, Direct Appearance Models
CITATION

Y. ShuiCheng, S. Z. Li, H. Zhang and Q. Cheng, "Multi-View Face Alignment Using Direct Appearance Models," Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition(FG), Washinton D.C., 2002, pp. 0324.
doi:10.1109/AFGR.2002.1004174
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