基于三维点云的笔刷手势特征识别研究

Huang Mingji, Li Lin
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引用次数: 1

摘要

近年来,学习中国书法的人越来越多,而对于如何正确的刷笔、刷笔,对此了解的人却越来越少。本课题将空间点云数据与手势识别技术相结合,针对常见的毛笔手势——五指笔法进行特征选择与提取的研究。本文的创新点是手势识别技术、空间动作捕捉技术、模式识别技术等,建立了对毛笔手势识别的平台,对毛笔手势的静态特征和动态特征进行识别,引导人们正确刷笔和刷笔。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on brush gesture feature recognition based on the 3D point cloud
In recent years, more and more people are learning Chinese calligraphy, and for how to correctly brush pen and brush, the less people know about this. This topic combines the spatial point cloud data and gesture recognition technology, in view of the common brush pen gestures - five fingers penned method for the study of feature selection and extraction. Innovation point of this article is the gesture recognition technology, space motion capture technology, pattern recognition technology, etc., establish the platform of brushes gesture recognition on static feature and dynamic brush gestures characteristics for identification, guide people to correctly brush pen and brush.
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