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 :
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