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本代码实现了对静态五种基本静态手势的识别,通过皮肤颜色模型分割人手,然后通过边界追踪得到手的轮廓,最后通过傅里叶系数识别手势-The static code of the five basic static gesture recognition, through the skin color model partition manually, and then get through the border to track the contours of the hands, and fina
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Fourier Spectra for Face Recognition
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提取了一种手势识别的算法,通过皮肤颜色模型将手势分割出来,然后追踪其边缘,再通过傅里叶系统作为特征向量进行识别。识别率很高的。(A gesture recognition algorithm is extracted from the skin color model, then the gestures are segmented, then the edges are traced, and then the Fourier system is used as the feature vec
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