Face detection based on template matching and support vector machines

被引：0

作者：

Ai, HZ ^{[1
]}

Liang, LH ^{[1
]}

Xu, GY ^{[1
]}

机构：

[1] Tsing Hua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China

来源：

2001 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this paper, a face detection algorithm integrating template matching and Support Vector Machines (SVM) is presented. Two types of templates: eyes-in-whole and face itself, are used for coarse filtration, and the SVM classifier is used for classification. A bootstrap method is used to collect non-face samples for SVM training under template matching constrained subspace, which greatly reduced the complexity of training SVM. Comparative experimental results demonstrate its effectiveness.

引用

页码：1006 / 1009

页数：4

共 9 条

[1]

Ai HH, 2000, LECT NOTES COMPUT SC, V1948, P119

[2]

[Anonymous], P 5 ANN WORKSH COMP

[3] Face Detection Using Quantized Skin Color Regions Merging and Wavelet Packet Analysis [J].

Garcia, Christophe ;

Tziritas, Georgios .

IEEE TRANSACTIONS ON MULTIMEDIA, 1999, 1 (03) :264-277

[4]

GUNN SR, 1997, SUPPORT VECTOR MACHI

[5] Probabilistic visual learning for object representation [J].

Moghaddam, B ;

Pentland, A .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1997, 19 (07) :696-710

[6] Training support vector machines: an application to face detection [J].

Osuna, E ;

Freund, R ;

Girosi, F .

1997 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1997, :130-136

[7]

Platt J., 1998, MICROSOFT RES

[8] Neural network-based face detection [J].

Rowley, HA ;

Baluja, S ;

Kanade, T .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (01) :23-38

[9] Example-based learning for view-based human face detection [J].

Sung, KK ;

Poggio, T .

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (01) :39-51

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