提出一种基于人脸肤色统计模型和主元分析(pca)的人脸检测和定位方法。

This paper presents a human face detection and localization approach which is based on skin color detection and principle component analysis (PCA).

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在皮肤检测阶段，在总结前人工作的基础上，采用了一种有效的肤色检测模型，并在此基础上利用简单统计纹理特征进行皮肤检测。

In period of skin detection, we adopted an effective skin color model by studying the former work and based on this we carried out skin detection through simple and statistical texture character.

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本文介绍了常用的三种肤色检测模型：统计颜色模型、色度空间模型和高斯混合模型。

This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.

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