Discriminating features learning in hand gesture classification

IET Computer Vision(2015)

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摘要
The advent and popularity of Kinect provides a new choice and opportunity for hand gesture recognition (HGR) research. In this study, the authors propose a discriminating features extraction for HGR, in which features from red, green and blue (RGB) images and depth images are both explored. More specifically, histogram of oriented gradient feature, local binary pattern feature, structure feature a...
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关键词
feature extraction,gesture recognition,image classification,image colour analysis,learning (artificial intelligence)
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