DocumentCode
2542794
Title
Shape Model´s Alignment Algorithm with Global Shear Transformation
Author
Wu, Xiao-jun ; Feng, Zhen-hua
Author_Institution
Sch. of Inf. Eng., Jiangnan Univ., Wuxi, China
fYear
2009
fDate
4-6 Nov. 2009
Firstpage
1
Lastpage
5
Abstract
ASM (active shape model) and AAM (active appearance model) model are both parametric model based on statistics. We can locate the key points of a face by AAM model accurately. There is a shape model both in the ASM and AAM. When we build the ASM model and AAM model, we must align the shapes of the training set to a unified framework. In the original alignment process, there are only scale, rotation and translation transformation. In order to improve the accuracy of the alignment, we propose a new algorithm with shear transformation besides the original geometric transformations. At last, the experimental results indicate that the new algorithm is effective for the alignment of the shape model.
Keywords
geometry; shape recognition; statistics; active appearance model; active shape model; geometric transformations; global shear transformation; shape model alignment algorithm; statistics; Active appearance model; Active contours; Active shape model; Electronic mail; Face recognition; Parametric statistics; Pattern analysis; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4199-0
Type
conf
DOI
10.1109/CCPR.2009.5344088
Filename
5344088
Link To Document