基于级联的多特征融合人脸检测算法

Cascade Based Multi-feature Fusion Algorithm for Face Detection

针对AdaBoost人脸检测方法在高分辨率彩色图像上定位速度慢和误检率高的问题,提出一种多特征融合的人脸检测方法。该方法使用级联策略将多种特征分类器有效地组合起来,高效地利用各种特征之间的互补性,形成一种新型的高性能分类器。实验结果显示,该方法提高了检测速度、降低了误检率。

In order to improve the detection speed and decrease the false alarm rate of the AdaBoost algorithm in high resolution color image, a multi-feature fusion method is proposed. It adopts cascade strategy to combine multi-fuse classifiers. Benefiting from the complementary of multi-feature, the proposed method can achieve high performance. Experimental result demonstrates that the proposed method has better global precision and is less time consuming.