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» Learning Representative Local Features for Face Detection
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FGR
2000
IEEE
154views Biometrics» more  FGR 2000»
13 years 10 months ago
Face Recognition Based on Multiple Facial Features
An automatic face recognition system based on multiple facial features is described in this paper. Each facial feature is represented by a Gabor-based complex vector and is locali...
Rui Liao, Stan Z. Li
ICPR
2004
IEEE
14 years 6 months ago
Real-Time Face Detection Using Boosting in Hierarchical Feature Spaces
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
Daniel Gatica-Perez, Dong Zhang, Stan Z. Li
CVIU
2007
129views more  CVIU 2007»
13 years 5 months ago
Multi-view face and eye detection using discriminant features
Multi-view face detection plays an important role in many applications. This paper presents a statistical learning method to extract features and construct classifiers for multi-...
Peng Wang, Qiang Ji
PAMI
1998
113views more  PAMI 1998»
13 years 5 months ago
Example-Based Learning for View-Based Human Face Detection
—We present an example-based learning approach for locating vertical frontal views of human faces in complex scenes. The technique models the distribution of human face patterns ...
Kah Kay Sung, Tomaso Poggio
ICB
2007
Springer
683views Biometrics» more  ICB 2007»
13 years 11 months ago
Face Detection Based on Multi-Block LBP Representation
Effective and real-time face detection has been made possible by using the method of rectangle Haar-like features with AdaBoost learning since Viola and Jones’ work [12]. In this...
Lun Zhang, Rufeng Chu, Shiming Xiang, ShengCai Lia...