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An empirical study of selection of the appropriate color space for skin detection: A case of face detection in color images

机译:皮肤检测适当颜色空间选择的实证研究:彩色图像脸部检测的情况

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In most of the studies related to human computer interaction like face detection, human detection, face recognition and emotion detection in the color image or videos, skin color was used as a cue or a feature. Because it handles some well defined problems such as pose, orientation and partial occlusion and varying illumination conditions. In spite of advantages of using skin as cue for various human computer interaction applications, there is another challenge of selection of suitable color space among various color spaces available. Therefore, in this paper an empirical/experimental study was done by keeping same objects with same illumination or lighting conditions for selection of a suitable color space which one would be capable of skin color detection from color image or videos. Due to the existence of huge imprecision, this study also used fuzzy logic concepts for human skin modeling.
机译:在与人类计算机相互作用相关的大多数研究中,如面部检测,人体检测,面部识别和情绪检测在彩色图像或视频中,肤色被用作提示或特征。因为它处理一些良好的定义问题,例如姿势,方向和部分闭塞和不同的照明条件。尽管使用皮肤作为各种人类计算机交互应用的提示,但是在可用的各种颜色空间中选择合适的色彩空间存在另一个挑战。因此,在本文中,通过保持相同的照明或照明条件的相同对象来选择一种实证/实验研究,以选择一个能够从彩色图像或视频中筛选皮肤颜色检测的合适颜色空间。由于存在巨大的不精确,这项研究还用于人类皮肤模拟模糊逻辑概念。

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