An Improved AAM Method for Extracting Human Facial Features
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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Journal of Applied Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2012/643562 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832560430894022656 |
|---|---|
| author | Tao Zhou Xiao-Jun Wu Tao Wu Zhen-Hua Feng |
| author_facet | Tao Zhou Xiao-Jun Wu Tao Wu Zhen-Hua Feng |
| author_sort | Tao Zhou |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0d3c3dd0338945f38a59a02293defee3 |
| institution | Kabale University |
| issn | 1110-757X 1687-0042 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Applied Mathematics |
| spelling | doaj-art-0d3c3dd0338945f38a59a02293defee32025-02-03T01:27:35ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/643562643562An Improved AAM Method for Extracting Human Facial FeaturesTao Zhou0Xiao-Jun Wu1Tao Wu2Zhen-Hua Feng3School of IoT Engineering, Jiangnan University, Wuxi, Jiangsu 214122, ChinaSchool of IoT Engineering, Jiangnan University, Wuxi, Jiangsu 214122, ChinaSchool of IoT Engineering, Jiangnan University, Wuxi, Jiangsu 214122, ChinaSchool of IoT Engineering, Jiangnan University, Wuxi, Jiangsu 214122, ChinaActive 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.http://dx.doi.org/10.1155/2012/643562 |
| spellingShingle | Tao Zhou Xiao-Jun Wu Tao Wu Zhen-Hua Feng An Improved AAM Method for Extracting Human Facial Features Journal of Applied Mathematics |
| title | An Improved AAM Method for Extracting Human Facial Features |
| title_full | An Improved AAM Method for Extracting Human Facial Features |
| title_fullStr | An Improved AAM Method for Extracting Human Facial Features |
| title_full_unstemmed | An Improved AAM Method for Extracting Human Facial Features |
| title_short | An Improved AAM Method for Extracting Human Facial Features |
| title_sort | improved aam method for extracting human facial features |
| url | http://dx.doi.org/10.1155/2012/643562 |
| work_keys_str_mv | AT taozhou animprovedaammethodforextractinghumanfacialfeatures AT xiaojunwu animprovedaammethodforextractinghumanfacialfeatures AT taowu animprovedaammethodforextractinghumanfacialfeatures AT zhenhuafeng animprovedaammethodforextractinghumanfacialfeatures AT taozhou improvedaammethodforextractinghumanfacialfeatures AT xiaojunwu improvedaammethodforextractinghumanfacialfeatures AT taowu improvedaammethodforextractinghumanfacialfeatures AT zhenhuafeng improvedaammethodforextractinghumanfacialfeatures |