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Recognition of Static Human Gesture Based on Radiant-Projection-Transform and Fourier-Transform

机译:基于辐射投影变换和傅立叶变换的静态人姿态识别

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An algorithm called Radiant-projection-transform (RPT) is introduced to recognize static gesture images in this paper, which devotes a new method for gesture recognition. Through a series of mathematic transform such as normalization and Fourier-transform, the improved RPT features have many excellent characteristics such as translation invariance, scaling invariance and rotation invariance. These features can be used to do study in pattern recognition. We recognize static human gestures with this method in the paper. In the end, some experimentation show that it does good job in the gesture bank.
机译:引入了一种称为辐射投影变换(RPT)的算法以识别本文中的静态手势图像,其致力于手势识别的新方法。通过一系列数学转换,如归一化和傅立叶变换,改进的RPT功能具有许多优异的特征,例如翻译不变性,缩放不变性和旋转不变性。这些功能可用于进行模式识别的研究。我们在纸上用这种方法识别静态人姿势。最后,一些实验表明它在姿态银行做得很好。

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