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Analysis of college martial arts teaching posture based on 3D image reconstruction and wavelet transform
Displays ( IF 3.7 ) Pub Date : 2021-07-17 , DOI: 10.1016/j.displa.2021.102044
Lingling Deng 1 , Yubin Pu 1
Affiliation  

Martial arts is a traditional sports event of the Chinese nation, which carries history and culture. With the development of “Martial Arts on Campus Activities” in recent years, more and more schools have opened general martial arts courses. However, due to the more complex technical movements of martial arts, there are often varying degrees of gaps between the movements and standard movements. Based on this, this research introduces three-dimensional imaging technology on the basis of traditional physical education teaching methods, aiming to explore new martial arts teaching models through image reconstruction and posture analysis. First of all, in order to obtain a three-dimensional point cloud and three-dimensional line, this paper extracts and matches feature points and feature lines on the input image. Secondly, on the basis of obtaining dense matching and straight-line matching, this paper selects the image with the most feature line matching for reprojection. Wavelet transform is used in the process of image compression and coding, including signal decomposition and reconstruction steps. Finally, through the experimental test of martial arts teaching posture images in colleges and universities, it shows that the method of combining three-dimensional image reconstruction and wavelet transform proposed in this paper has good applicability and efficiency, and can provide a scientific reference for college martial arts teaching.



中文翻译:

基于3D图像重建和小波变换的高校武术教学姿势分析

武术是中华民族的传统体育赛事,承载着历史和文化。近年来,随着“校园武术活动”的开展,越来越多的学校开设了普通武术课程。但由于武术动作的技术动作较为复杂,动作与标准动作之间往往存在不同程度的差距。基于此,本研究在传统体育教学方法的基础上引入三维成像技术,旨在通过图像重建和姿势分析探索新的武术教学模式。首先,为了得到一个三维点云和三维线,本文对输入图像上的特征点和特征线进行提取和匹配。第二,本文在得到密集匹配和直线匹配的基础上,选取特征线匹配最多的图像进行重投影。小波变换用于图像压缩和编码过程,包括信号分解和重建步骤。最后,通过对高校武术教学姿势图像的实验测试,表明本文提出的三维图像重建与小波变换相结合的方法具有良好的适用性和效率,可为高校提供科学参考。武术教学。包括信号分解和重建步骤。最后,通过对高校武术教学姿势图像的实验测试,表明本文提出的三维图像重建与小波变换相结合的方法具有良好的适用性和效率,可为高校提供科学参考。武术教学。包括信号分解和重建步骤。最后,通过对高校武术教学姿势图像的实验测试,表明本文提出的三维图像重建与小波变换相结合的方法具有良好的适用性和效率,可为高校提供科学参考。武术教学。

更新日期:2021-07-22
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