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2004
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Boosting Nested Cascade Detector for Multi-View Face Detection

9 years 6 months ago
Boosting Nested Cascade Detector for Multi-View Face Detection
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
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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