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Face Detection Based on Color Model and Grayscale Value Distribution

机译:基于颜色模型和灰度值分布的人脸检测

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With the development of technology concerning face recognition, it has aroused great attentions from related scientists and is envisioned to be widely applied in various fields in the future.In this paper we are going to describe an effective way for detecting face in the statistic images.The proposed method will firstly detect face region via using the color model, which has been described in my previous paper [1] so as to locate the candidate pixels.Then we analyze the gray value distribution of candidate pixels to segment a more accurate region.Finally the face region is likely to be obtained after the exclusion of superfluous skin region.
机译:随着人脸识别技术的发展,它引起了相关科学家的广泛关注,并有望在未来的各个领域得到广泛应用。本文将介绍一种在统计图像中检测人脸的有效方法。所提出的方法将首先使用颜色模型检测人脸区域,该模型在我之前的论文[1]中已经描述过,以便定位候选像素。然后,我们分析候选像素的灰度值分布,以分割出更准确的区域。最后,排除多余的皮肤区域后可能获得面部区域。

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