DocumentCode
419510
Title
Depth vs. intensity: which is more important for face recognition?
Author
Xu, Chenghua ; Wang, Yunhong ; Tan, Tieniu ; Quan, Long
Author_Institution
Inst. of Autom., Chinese Acad. of Sci., Beijing, China
Volume
1
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
342
Abstract
Both depth and intensity are important information for face recognition. In this paper, based on 3D face modelling, we extract depth features and intensity features respectively, and further compare their capacity to characterize the individuals in our database, 3DPEF. The experimental results show that depth information is more important than intensity information for recognition under the same condition. This work is a good reference to the future work on face recognition.
Keywords
face recognition; feature extraction; mesh generation; visual databases; 3D face modelling; 3D pose and expression face database; depth feature extraction; face recognition; intensity feature extraction; mesh generation; Biometrics; Clouds; Data mining; Face detection; Face recognition; Feature extraction; Noise robustness; Nose; Pattern recognition; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1334122
Filename
1334122
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