DocumentCode :
2608949
Title :
Reconstruction of 3D Face Model from Single Shading Image Based on Anatomical Database
Author :
Yoshiki, Kaori ; Saito, Hideo ; Mochimaru, Masaaki
Author_Institution :
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama
Volume :
4
fYear :
0
fDate :
0-0 0
Firstpage :
350
Lastpage :
353
Abstract :
We propose a method to reconstruct 3D face model from a single face-frontal shading image based on a database of the original 3D face shapes which are created according to anatomical basis of the human head. In the proposed method, we reconstruct the 3D shape of the face from the input shading image by estimating small number of eigenvalues taken by principal component analysis (PCA) of the anatomical database of the head, rather than directly recovering the shape from the input shading image. The eigenvalues are estimated based on the optimization of the error value computed by comparing shading information of input image to that of model image created from the shape represented by the eigenvalues. For evaluating the effectiveness, we reconstruct various face shapes from single shading images of the objects based on the proposed method. The reconstructed shape for a statue of head with the average shape of the databases provides an error evaluation, which is 2.6 mm in average. This is sufficiently accurate for the future applications, such as on-line order-made of face-wearing products
Keywords :
eigenvalues and eigenfunctions; image reconstruction; principal component analysis; visual databases; 3D face model reconstruction; 3D face shapes; anatomical database; eigenvalue estimation; error value optimization; input shading image; principal component analysis; shape representation; single face-frontal shading image; Eigenvalues and eigenfunctions; Face detection; Facial animation; Glass; Head; Humans; Image databases; Image reconstruction; Principal component analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
ISSN :
1051-4651
Print_ISBN :
0-7695-2521-0
Type :
conf
DOI :
10.1109/ICPR.2006.982
Filename :
1699852
Link To Document :
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