As popularization, improvement of performance and the studying of pattern process and pattern-recognition field that the computer employs being ripe progressively. The application that the human faces detection is more and more extensive.
随着计算机应用的普及、性能的提高以及图像处理和模式识别领域的研究逐步成熟，人脸检测的应用越来越广泛。
参考来源 - 一种基于视频序列的动态人脸检测方法·2,447,543篇论文数据，部分数据来源于NoteExpress
After comparing and analyzing existing face detection methods based on complexion, a skin model used to detect human faces in this thesis, Gaussian distribution model is proposed.
研究了常见的基于肤色的人脸检测算法并分析比较其优缺点，给出本文利用肤色特征进行肤色检测时所采用的肤色模型——高斯分布模型。
Face detection find faces information in the video sequence or image and determine facial size, position, trajectory, attitude, and further human face eyes, lips and other features extraction process.
人脸检测是指在视频序列或图像中寻找所有人脸信息，并确定人脸大小、位置、运动轨迹、姿态，进一步对人脸上的眼睛、嘴唇等特征进行提取的过程。
According to the hue, motion and geometric features of human faces, a method integrated hue analysis and motion detection was raised to remove non-face regions.
针对人脸的色度特性、运动特性和几何特性，提出了一种新的方法进行人脸检测。
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