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 iris-refinement.
Partially supported by NSFC under contract No. 60332010.
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Fan, J., Yao, H., Gao, W., Liu, Y., Liu, X. (2005). The Bunch-Active Shape Model. In: Tao, J., Tan, T., Picard, R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11573548_3
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DOI: https://doi.org/10.1007/11573548_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29621-8
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