DocumentCode :
2193737
Title :
Improved Face Model Fitting Using Tensor-Based AAM
Author :
Daijin Kim ; Hyung-Soo Lee
Author_Institution :
Dept. of Comput. Sci. & Eng., Pohang Univ. of Sci. & Technol., Pohang
fYear :
2008
fDate :
10-13 July 2008
Firstpage :
21
Lastpage :
24
Abstract :
In this paper, we propose a tensor-based active appearance model (AAM) which improves the fitting performance of conventional AAM. Tensor-based AAM generates the specific AAM basis vectors by indexing the model tensor in terms of the estimated input image variations. Experimental results show that the proposed tensor-based AAM reduces the average fitting error than the conventional AAM significantly.
Keywords :
face recognition; image classification; tensors; face model fitting; image variations; tensor-based active appearance model; Active appearance model; Active shape model; Detectors; Face detection; Face recognition; Indexing; Lighting; Object detection; Tensile stress; Vectors; AAM; Tensor-based AAM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ubiquitous Virtual Reality, 2008. ISUVR 2008. International Symposium on
Conference_Location :
Gwangju
Print_ISBN :
978-0-7695-3259-2
Type :
conf
DOI :
10.1109/ISUVR.2008.15
Filename :
4568637
Link To Document :
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