An Improved AAM Method for Extracting Human Facial Features
Joint Authors
Zhou, Tao
Wu, Xiao-Jun
Wu, Tao
Feng, Zhen-Hua
Source
Journal of Applied Mathematics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-03-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhou, Tao& Wu, Xiao-Jun& Wu, Tao& Feng, Zhen-Hua. 2012. An Improved AAM Method for Extracting Human Facial Features. Journal of Applied Mathematics،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-993451
Modern Language Association (MLA)
Zhou, Tao…[et al.]. An Improved AAM Method for Extracting Human Facial Features. Journal of Applied Mathematics No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-993451
American Medical Association (AMA)
Zhou, Tao& Wu, Xiao-Jun& Wu, Tao& Feng, Zhen-Hua. An Improved AAM Method for Extracting Human Facial Features. Journal of Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-993451
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-993451