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Face Detection in Color Images Using Fusion of the Chrominance and Luminance Channel Decisions

机译:使用色度和亮度通道决策的彩色图像中的脸部检测

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We propose a new face detection model based on the fusion of the color and luminance channel decisions. Each of the two detection branches has its own technique of finding face candidates. We have also investigated the decision improvement of skin detection over the color channel by applying the conversion from the conventional RGB space into the 3D uncorrelated color space (UCS). One evaluates the performances of the proposed model by comparison to several standard color spaces.
机译:我们提出了一种基于颜色和亮度信道决策的融合的新型面部检测模型。两个检测分支中的每一个都有自己的寻找面部候选人的技术。我们还通过将传统RGB空间的转换应用于3D不相关的颜色空间(UCS)来调查通过颜色信道对颜色信道的判断改进。通过与多个标准颜色空间进行比较来评估所提出的模型的性能。

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