DocumentCode :
2677868
Title :
A real-time face detector
Author :
Zhang, Si-cheng ; Liu, Zhi-Qiang
Author_Institution :
Center for Media Technol., City Univ. of Hong Kong, China
Volume :
3
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
2197
Abstract :
In this paper, we present a real-time face detector using a hybrid template that characterizes face-like shapes and face texture patterns. The face detector consists of two main stages: (1) face shape detection based on a modified fast ellipse detection algorithm and (2) face candidate verification in which we define a set of face texture patterns and extend a texture description method to verifying the presence of a face in the face shape candidate region. We present our experimental results which shows that the proposed approach is able to achieve high accuracy with a real-time performance.
Keywords :
face recognition; feature extraction; image texture; real-time systems; face candidate verification; face shape detection; face texture patterns; face-like shapes characterization; hybrid template; modified fast ellipse detection algorithm; real-time face detector; texture description method; Biology computing; Detection algorithms; Detectors; Face detection; Facial features; Humans; Noise robustness; Paper technology; Shape; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1400654
Filename :
1400654
Link To Document :
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