【摘要】 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。更多还原

【Abstract】 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.更多还原