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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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结合人脸肤色和发色进行的人脸检测，可以忽略人脸的姿态表情，不用进行人脸特征的定位-Combination of face color and hair color for face detection, facial gesture can ignore the expression, do not carry out the positioning of facial features
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从原始彩色图像中提取多阈值器官梯度图、双阈值肤色图、梯度方向图和灰度特征图等四种特征图像,并运用多姿态
知识模型和多姿态模板,实现了一种快速人脸检测算法
-Extracted from the original color image gradient map organ multi-threshold, dual-threshold color map and gray gradient patterns and other characteristics of the four
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matlab的手势识别，手部提取经过了肤色的提取，高斯滤波，锐化处理，以及HU矩运算，可以进行单独的手势识别，只要实现做好手势模板即可-matlab gesture recognition, hand extracted through the skin color extraction, Gaussian filtering, sharpening, and HU moments computing, gesture recognition can be separate, as long a
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基于MATLAB 7.10.0 (R2010a) 用肤色模型、边缘检测、数学形态学等方法来初步实现对运动目标的检测-Based on MATLAB 7.10.0 (R2010a) with a color model, edge detection, mathematical morphology and other methods to achieve the initial detection of moving targets
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This Project is confined to identification of hand postures and to establish a man-machine interaction. The hand region in the image is detected and the number of active fingers is determined. In this approach, the input which is an image or a frame
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matlab编的手势识别的小程序，简单肤色阈值算法，提取轮廓-Matlab series of gesture recognition of small procedures, a simple skin color threshold algorithm to extract contours
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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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