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
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;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334122
