本文在总结和分析现有人脸检测技术的基础上，重点研究了基于矩形特征的人脸检测技术及以此为基础并结合运动信息的动态人脸检测技术。
Relying on the analysis of existed face detection techniques, this paper mainly describes face detection based on rectangle feature and dynamic face detection combined with motion information.
此外，人脸检测技术有助于把他们每个人都面临着最好的，而超级平稳摄像光学图像稳定系统有助于确保图像仍然尖锐和正确的。
Additionally, face Detection technology helps everyone put their best face forward, while the Super SteadyShot optical image stabilization system helps ensure images remain sharp and true.
研究了利用颜色直方图、颜色边缘幅值和边缘方向直方图特征，基于支撑向量分类器的检测人脸技术。
This paper studies the human face detection by support vector classifier using histograms of color, color edge and its orientation.
人脸检测与识别技术是模式识别、计算机视觉领域内具有理论价值和应用前景，且极具挑战性的研究课题之一。
Face detection and recognition technique is one of the most important and practical issue in the field of pattern recognition and computer vision.
人眼检测和定位是人脸识别技术中一个重要组成部分。
The detection and location of eyes is a very important part of face recognition.
本文首先介绍了人脸检测技术的研究背景和意义，以及目前比较常用的一些人脸检测算法。
Firstly this paper introduces the face detection technology research background and significance, and the current number of commonly used face detection algorithm.
人脸识别系统主要包括两个技术环节：首先是人脸检测和定位，然后是对归一化的人脸图像进行特征提取与识别。
Two key techniques accounts the most for a human-face recognition system: one is face detection and orientation; the other is feature abstraction and recognition from unified human-face image.
人脸检测与识别技术是人工智能和机器视觉领域内最具挑战性的研究课题之一。
The automatic recognition and detection of human face is one of the most interesting and challenging topics in the fields of Artificial Intelligence and Computer Vision.
人脸检测与识别技术是人工智能和机器视觉领域内最具挑战性的研究课题之一。
The automatic recognition and detection of human face is one of the most interesting and challenging topics in the fields of Artificial Intelligence and Computer Vision.
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