Abstract
Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-ASM), based on the standard ASM, to automatically locate facial feature points in Face Recognition. In Bunch-ASM, eyes are localized by a face detector and the matching strategy used in Elastic Bunch Graph Matching (EBGM) is introduced. Experimental results prove that the Bunch-ASM performs much better than the standard ASM and the ASM with irisrefinement. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Fan, J., Yao, H., Gao, W., Liu, Y., & Liu, X. (2005). The bunch-active shape model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3784 LNCS, pp. 16–23). Springer Verlag. https://doi.org/10.1007/11573548_3
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