A new AdaboostSVM algorithm based on multi-feature fusion for multi-pose face detection

Song Guo,Guochang Gu,Haibo Liu,Jing Shen,Zesu Cai

CISP), 2010 3rd International Congress（2010）

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摘要

To improve the performance of multi-pose face detection, the AdaboostSVM algorithm based on multi-feature fusion is proposed in this paper. Firstly, the Haar-like features and the triangular integral features are introduced and the edge-orientation field features based on morphological gradient are presented. Then, the AdaboostSVM Algorithm based on the above three kinds of features is proposed. The results of the experiment show that the proposed algorithm could improve the performance of multi-pose face detection effectively.

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关键词

face recognition,edge-orientation field features,multi-pose face detection,haar-like features,morphological gradient,triangular integral features,adaboostsvm,adaboostsvm algorithm,feature extraction,edge detection,haar transforms,multi-feature fusion,support vector machines,sensor fusion,classification algorithms,noise,haar like features,face,face detection

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