基于区域特征的快速人脸检测法

提出一种新的基于区域特征的快速人脸检测方案，相比传统马赛克方法明显改进：重新设计了基于器官的人脸分块策略，使规则制订直观可信；采用块形状自适应技术以提高对不同脸形的适应性，改善了检测算法的适用范围；引入有效的粗检测和层次化局部搜索技术，大大提高了检测速度。仿真表明，这种方法对人脸数目、尺寸、脸形、光照、背景复杂性无限制，适用于不同质量尤其是恶劣质量的图像。

Regional feature based fast human face detection

Automatic face recognition (AFR) is one of the most attractive and challenging tasks in fields of computer vision and pattern recognition, the first critical step of AFR is face detection. A fast face detection algorithm based on regional feature is proposed. In contrast with the award winning mosaic method, three main improvements were introduced here: 1). organ based blocking scheme and more intuitive mosaic rule design, 2). sub block type adaptive technique according to different face shape, 3). fast organ based rough detection and hierarchical local searching method. Also directional gradient statistics were used as sub block feature instead of absolute gray value ones. Experimental results show that the algorithm can find the face rapidly with relative high accuracy, with little limit to the complexity of background, lighting condition, face size, person number, resolution of the image etc.