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的 Hu矩或指尖个数作为手势特征的方法相比,该方法可以获得更高的识别率。 关键词 静态手势,肤色模型,重心距离法,指尖,Hu不变矩,模板匹配 中图法分类号 TP391.41 文献标识码 A  Gesture Recognition Based on Weighted Feature Distance WANG YanXU Shi-yi CHEN Hai-yun (Department of Electric Engineering and Information,Southwest Petroleum University,Chengdu 610500,China)  Abstract Gesture recognition based on computer vision has become a hot research topic.But due to the influence of illumination,environment and other factors,method based on single feature can’t identify gestures wel.Therefore a method combined Hu invariant moments with number of fingertips as features of static gestures was proposed.After preprocessing the colected static gesture images,a kind of skin color model was applied to segment gesture,then the numbers of fingertips were detected by centroid distance method,and then the Hu values of the extracted gesture contour were calculated.Next the number of fingertips and Hu values were weighted respectively as gesture features.Finally the template matching was used to recognize gestures by weighting and fusing feature distance.Experimental results show that the proposed way can obtain a higher recognition rate of ten kinds of gestures than traditional Hu invariant moments feature recognition method and fingertip detection recognition method.

基于特征距离加权的手势识别 (Gesture Recognition Based on Weighted Feature Distance).