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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Depth vs. Intensity: Which is More Important for Face Recognition?
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
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Chenghua Xu, Yunhong Wang, Tieniu Tan, Long Quan, "Depth vs. Intensity: Which is More Important for Face Recognition?," Pattern Recognition, International Conference on, vol. 1, pp. 342-345, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334122,
author = {Chenghua Xu and Yunhong Wang and Tieniu Tan and Long Quan},
title = {Depth vs. Intensity: Which is More Important for Face Recognition?},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {342-345},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334122},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Depth vs. Intensity: Which is More Important for Face Recognition?
SN - 1051-4651
SP342
EP345
A1 - Chenghua Xu,
A1 - Yunhong Wang,
A1 - Tieniu Tan,
A1 - Long Quan,
PY - 2004
KW - face recognition
KW - depth features
KW - intensity features
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
Chenghua Xu, Institute of Automation, CAS, Beijing, P.R.China
Yunhong Wang, Institute of Automation, CAS, Beijing, P.R.China
Tieniu Tan, Institute of Automation, CAS, Beijing, P.R.China
Long Quan, HKUST, Kowloon, Hong Kong
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.
Index Terms:
face recognition, depth features, intensity features
Citation:
Chenghua Xu, Yunhong Wang, Tieniu Tan, Long Quan, "Depth vs. Intensity: Which is More Important for Face Recognition?," icpr, vol. 1, pp.342-345, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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