DocumentCode :
433001
Title :
Area matching based on belief propagation with applications to face modeling
Author :
Onofrio, Davide ; Sarti, Augusto ; Tubaro, Stefnno
Author_Institution :
Dipartimento di Elettronica e Informazione, Politecnico di Milano, Milan, Italy
Volume :
3
fYear :
2004
fDate :
24-27 Oct. 2004
Firstpage :
1943
Abstract :
In the past few years several systems for face recognition and identification based on the analysis of 3D data have been proposed. In order for such systems to be of practical use, the 3D data extraction process is expected to be fast and reliable. In this paper we propose a general approach to multi-view 3D surface reconstruction, specialized for the specific problem of face modeling. Our method determines correspondences between surface patches on different views through a modeling of disparity maps based on Markov random fields (MRFs). In order to reduce the occurrence of outliers the MRF-based modeling is bound to satisfy the epipolar constraint. We apply the belief propagation algorithm to the MRF model in order to perform a maximum-a-posteriori estimation of such correspondences.
Keywords :
Markov processes; belief networks; face recognition; feature extraction; image matching; image reconstruction; maximum likelihood estimation; 3D data extraction process; Markov random field; area matching; belief propagation; epipolar constraint; face identification; face modeling; face recognition; maximum-a-posteriori estimation; multiview 3D surface reconstruction; Belief propagation; Brightness; Cameras; Data analysis; Data mining; Face recognition; Geometry; Grid computing; Image motion analysis; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
ISSN :
1522-4880
Print_ISBN :
0-7803-8554-3
Type :
conf
DOI :
10.1109/ICIP.2004.1421460
Filename :
1421460
Link To Document :
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