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A Fast Face Detection Scheme Utilizing HSV-based Skin Color Model with K-L Transform

机译:利用基于HSV的肤色模型和K-L变换的快速人脸检测方案

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摘要

Fast face detection is very essential for many applications such as video surveillance and human computer interface. This study presents a fast face detection method using the HSV-based skin color model under non-constrained scene conditions. First, a skin color model that combines the HSV color space with K-L transform-based skin color filter is designed. Then, skin regions in the input image are detected and face candidates based on the spatial arrangement of these skin patches are generated. Finally, the mouths in all of the candidate human face regions are verified by a mouth detector. Experimental results show that the proposed scheme is not only fast and efficient, but also robust to head rotation.
机译:快速人脸检测对于许多应用程序(例如视频监控和人机界面)非常重要。这项研究提出了一种在不受约束的场景条件下使用基于HSV的肤色模型的快速人脸检测方法。首先,设计一种将HSV颜色空间与基于K-L变换的皮肤颜色滤镜相结合的皮肤颜色模型。然后,检测输入图像中的皮肤区域,并基于这些皮肤斑块的空间布置来生成面部候选。最后,通过嘴部检测器验证所有候选人脸区域中的嘴部。实验结果表明,该方案不仅快速高效,而且对头部旋转具有鲁棒性。

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