DocumentCode
2146816
Title
Individual 3D Face Generation Based on Candide-3 for Face Recognition
Author
Fengsong Hu ; Yaping Lin ; Beiji Zou ; Maojun Zhang
Author_Institution
Coll. of Comput. & Commun., Hunan Univ., Changsha
Volume
1
fYear
2008
fDate
27-30 May 2008
Firstpage
646
Lastpage
650
Abstract
In this paper, an individual 3D face generation method has been proposed. This method is based on candide-3 and aims for pose normalization for face recognition system. By using ASM and AAM for facial feature point tracking and model parameters optimizing, this method decreases the computation time of 3D face generation and improves the level of the 3D model fitting with the input image. Through applying the method for pose normalization, the recognition rate can be improved greatly. Experiment results on CMU-PIE database show validity of this method.
Keywords
face recognition; feature extraction; 3D model fitting; Candide-3; active appearance model; active shape model; facial feature point tracking; individual 3D face generation; pose normalization; Authentication; Biomedical signal processing; Educational institutions; Face recognition; Image databases; Image reconstruction; Lighting; Optimization methods; Shape; Signal generators; AAM; ASM; Pose normalization; face modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.345
Filename
4566235
Link To Document