Research of Facial Features Extraction Based on Improved ASM

Abstract:

Traditional ASM (Active Shape Model) methods usually depend heavily on the initial facial landmark positions located by the face detector. During the fitting process the ASM model may be trapped into local optima instead of the global optima due to the inaccurate initial position selection. In this paper we present that this problem can be solved by incorporating pupil and chin localizations in adjusting the initial landmark positions, together with adaptive step length selection based on two-dimensional gradient characteristic in a multi-scale ASM model. Experiments on a face database consisting of 1000 individuals show that this method is practically effective.

• Periodical: Advanced Materials Research (Volumes 271-273)
• Pages: 131-136
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.271-273.131
• Online since: July 2011
• Authors: Guang Fei Zhai, Guang Da Su, Jiong Xin Liu
• Keywords: Active Appearance Model (AAM), Active Shape Model (ASM), Facial Recognition

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