Depth vs. Intensity: Which is More Important for Face Recognition?

Authors:
Chenghua Xu;Yunhong Wang;Tieniu Tan;Long Quan
Affiliations:
Institute of Automation, CAS, Beijing, P.R.China;Institute of Automation, CAS, Beijing, P.R.China;Institute of Automation, CAS, Beijing, P.R.China;HKUST, Kowloon, Hong Kong
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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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 will be a good reference to the future work on face recognition.