This paper provides a fast and accurate algorithm of multi-face detection that is robust to the change of background and light.
以豪斯多夫距离为相似性度量，提出了一种对光照及背景变化具有鲁棒性的快速准确多人脸检测算法。
The result of the experiment shows that this approach can solve the problem of multi human face detection from complex scene.
实验结果表明，该方法能够较好地解决复杂背景下的正面人脸的检测问题。
In this paper, a fast human face detection method based on difference image and multi-templates matching is proposed.
提出了一种用差影法与多模板匹配快速实现人脸检测的方法。
This paper develops a multi template matching based method for single face detection in general background images.
提出了一种基于多模板匹配的一般环境图象中单人脸的检测方法。
In order to improve the correct rate of eye locating, an algorithm for the refinement of face boundaries and a multi-level eye detection scheme are included in this method.
为了提高眼睛检测和定位的成功率，该方法包含了一个人脸边界优化算法和一个多级人眼检测方案。
A human face detection method based on coarse segmentation of difference image and multi-template matching is proposed.
提出了基于差影法粗分割与多模板匹配的人脸检测方法。
The experimental results demonstrate that the algorithm can further improve the multi-pose face detection accuracy and is highly robust to lighting condition, facial expression and occlusion.
对比实验表明，算法提高了多姿态人脸的检测率，对光照、表情和遮挡有较强的鲁棒性。
In this thesis, we propose a new Multi-Feature analysis method for face detection and recognition. An extensible real time face detection and recognition system with high performance is developed.
本论文研究人脸检测和识别的多特征分析方法，设计和实现了一个具有高检测率和识别率、具有可扩展性的实时人脸检测与识别系统。
This paper designs a multi-view faces detection system based on the viola's face detection algorithm.
本文以该算法为基础设计了一个多姿态的人脸检测系统。
However, there are still difficulties for multi-pose face detection under complex background, and only a few effective methods can be found at present.
然而目前复杂背景下的多姿态人脸检测还存在很大困难，有效的方法还不多。
However, there are still difficulties for multi-pose face detection under complex background, and only a few effective methods can be found at present.
然而目前复杂背景下的多姿态人脸检测还存在很大困难，有效的方法还不多。
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