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Extended Fitting Methods of Active Shape Model for the Location of Facial Feature Points

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Computer Vision, Graphics and Image Processing

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 4338))

Abstract

In this study, we propose three extended fitting methods to the standard ASM(active shape model). Firstly, profiles are extended from 1D to 2D; Secondly, profiles of different landmarks are constructed individually; Thirdly, length of the profilesis determined adaptively with the change of level during searching, and the displacements in the last level are constrained. Each method and the combination of three methods are tested on the SJTU(Shanghai Jiaotong University) face database. In all cases, compared to the standard ASM, each method improves the accuracy or speed in a way, and the combination of three methods improves the accuracy and speed greatly.

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© 2006 Springer-Verlag Berlin Heidelberg

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Du, C. et al. (2006). Extended Fitting Methods of Active Shape Model for the Location of Facial Feature Points. In: Kalra, P.K., Peleg, S. (eds) Computer Vision, Graphics and Image Processing. Lecture Notes in Computer Science, vol 4338. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949619_54

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  • DOI: https://doi.org/10.1007/11949619_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68301-8

  • Online ISBN: 978-3-540-68302-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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