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16

ICPR
2004
IEEE

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Boosting Nested Cascade Detector for Multi-View Face Detection

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Boosting Nested Cascade Detector for Multi-View Face Detection

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In this paper, a novel nested cascade detector for multi-view face detection is presented. This nested cascade is learned by Schapire and Singer's improved boosting algorithms that use real-valued confidence-rated weak classifiers [1], where we use confidence-rated LookUp-Table (LUT) weak classifiers based on Haar features. Experiments show the system performance is significantly improved compared with previous methods.

Bo Wu, Chang Huang, Haizhou Ai, Shihong Lao

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Added	09 Nov 2009
Updated	09 Nov 2009
Type	Conference
Year	2004
Where	ICPR
Authors	Bo Wu, Chang Huang, Haizhou Ai, Shihong Lao

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