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

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.