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2012 An Improved AAM Method for Extracting Human Facial Features
Tao Zhou, Xiao-Jun Wu, Tao Wu, Zhen-Hua Feng
J. Appl. Math. 2012: 1-10 (2012). DOI: 10.1155/2012/643562

Abstract

Active appearance model is a statistically parametrical model, which is widely used to extract human facial features and recognition. However, intensity values used in original AAM cannot provide enough information for image texture, which will lead to a larger error or a failure fitting of AAM. In order to overcome these defects and improve the fitting performance of AAM model, an improved texture representation is proposed in this paper. Firstly, translation invariant wavelet transform is performed on face images and then image structure is represented using the measure which is obtained by fusing the low-frequency coefficients with edge intensity. Experimental results show that the improved algorithm can increase the accuracy of the AAM fitting and express more information for structures of edge and texture.

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Tao Zhou. Xiao-Jun Wu. Tao Wu. Zhen-Hua Feng. "An Improved AAM Method for Extracting Human Facial Features." J. Appl. Math. 2012 1 - 10, 2012. https://doi.org/10.1155/2012/643562

Information

Published: 2012
First available in Project Euclid: 14 December 2012

Digital Object Identifier: 10.1155/2012/643562

Rights: Copyright © 2012 Hindawi

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