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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融合进行彩色图像中的人脸检测

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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通道决策融合的新人脸检测模型。两个检测分支中的每一个都有其自己的查找面部候选者的技术。我们还研究了通过应用从常规RGB空间到3D不相关颜色空间(UCS)的转换,在颜色通道上进行皮肤检测的决策改进。通过与几种标准色彩空间进行比较,可以评估所提出模型的性能。

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