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Erschienen in:
2005 | OriginalPaper | Buchkapitel
Facial Features Location by Analytic Boosted Cascade Detector
verfasst von : Lei Wang, Beiji Zou, Jiaguang Sun
Erschienen in: Computational Intelligence and Security
Verlag: Springer Berlin Heidelberg
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We describe a novel technique called Analytic Boosted Cascade Detector (ABCD) to automatically locate features on the human face. ABCD extends the original Boosted Cascade Detector (BCD) in three ways: (i) a probabilistic model is included to connect the classifier responses with the facial features; (ii) a features location method based on the probabilistic model is formulated; (iii) a selection criterion for face candidates is presented. The new technique melts face detection and facial features location into a unified process. It outperforms Average Positions (AVG) and Boosted Classifiers + best response (BestHit). It also shows great speed superior to the methods based on nonlinear optimization, e.g. AAM and SOS.