DocumentCode :
3015161
Title :
Canonical Face Depth Map: A Robust 3D Representation for Face Verification
Author :
Colbry, Dirk ; Stockman, George
Author_Institution :
Michigan State Univ., East Lansing
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
7
Abstract :
The canonical face depth map (CFDM) is a standardized representation for storing and manipulating 3D data from human faces. Our algorithm automates the process of transforming a 3D face scan into its canonical representation, eliminating the need for hand-labeled anchor points. The presented algorithm is designed to be a robust, fully automatic preprocessor for any 3D face recognition algorithm. The experimental results presented here demonstrate that our CFDM is robust to noise and occlusion, and we show that using such a canonical representation can improve the efficiency efface recognition algorithms and reduce memory requirements. Producing the CFDM takes, on average, 0.85 seconds for 320 times 240 pixel scans, and 3.8 seconds for 640 times 480 pixel scans (using a dual AMD Opteron 275, 2.2 GHz, with 2 MB Cache, and 1 GIG RAM). The CFDM enables both 2D and 3D image processing methods - such as convolution and PCA - to be readily used for feature localization and face recognition.
Keywords :
face recognition; image representation; image resolution; canonical face depth map; face recognition algorithms; face verification; frequency 2.2 GHz; noise; occlusion; robust 3D representation; Algorithm design and analysis; Convolution; Face recognition; Humans; Image processing; Noise reduction; Noise robustness; Principal component analysis; Random access memory; Read-write memory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383108
Filename :
4270133
Link To Document :
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