DocumentCode
2639267
Title
Robust 3D face shape estimation using multiple deformable models
Author
Hwang, Jinkyu ; Kim, Woowon ; Ban, Yuseok ; Lee, Sangyoun
Author_Institution
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear
2011
fDate
21-23 June 2011
Firstpage
1953
Lastpage
1958
Abstract
In this paper, we present the robust and fast 3D face shape estimation system which consists of two mirrors and a camera. In the face shape estimation procedure, we propose the iterative shape estimation algorithm using the multiple deformable models. In the experiments, we reduce the processing time by using only few vertices in an input face image. Our proposed algorithm shows accurate face shape estimation result when compared with the ground truth. To evaluate the robustness to the positional errors in our algorithm, two experiments are carried out. The results show that our proposed algorithm is more robust to the positional errors than other 3D reconstruction algorithms.
Keywords
face recognition; shape recognition; solid modelling; statistical analysis; 3D face modeling; iterative shape estimation algorithm; multiple deformable models; robust 3D face shape estimation system; statistical model; Computational modeling; Deformable models; Face; Mirrors; Shape; Solid modeling; Three dimensional displays; 3D face modeling; deformable model; statistical model;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics and Applications (ICIEA), 2011 6th IEEE Conference on
Conference_Location
Beijing
ISSN
pending
Print_ISBN
978-1-4244-8754-7
Electronic_ISBN
pending
Type
conf
DOI
10.1109/ICIEA.2011.5975912
Filename
5975912
Link To Document