Title
Novel face detection method based on gabor features
Abstract
Gabor-based Face representation has achieved great success in face recognition, while whether and how it can be applied to face detection is rarely studied This paper originally investigates the Gabor feature based face detection method, and proposes a coarse-to-fine hierarchical face detector combining the high efficiency of Harr features and the excellent discriminating power of the Gabor features Gabor features are AdaBoosted to form the final verifier after the cascade of Harr-based AdaBoost face detector Extensive experiments are conducted on several face databases and verified the effectiveness of the proposed approach.
Year
DOI
Venue
2004
10.1007/978-3-540-30548-4_11
SINOBIOMETRICS
Keywords
Field
DocType
final verifier,novel face detection method,gabor feature,face detection method,face databases,face recognition,gabor-based face representation,harr-based adaboost face detector,harr feature,extensive experiment,coarse-to-fine hierarchical face detector,face detection
Computer vision,Facial recognition system,AdaBoost,Object-class detection,Three-dimensional face recognition,Computer science,Gabor filter,Artificial intelligence,Face detection,Biometrics,Detector
Conference
Volume
ISSN
ISBN
3338
0302-9743
3-540-24029-2
Citations 
PageRank 
References 
4
0.44
18
Authors
6
Name
Order
Citations
PageRank
Jie Chen12487353.65
Shiguang Shan26322283.75
Peng Yang31124.57
Shengye Yan41509.25
Xilin Chen56291306.27
Wen Gao611374741.77