首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于Kinect的皮影动作实时匹配研究
引用本文:唐传谦,刘志强,苏毅俊,刘晓静.基于Kinect的皮影动作实时匹配研究[J].系统仿真学报,2022,34(3):633-639.
作者姓名:唐传谦  刘志强  苏毅俊  刘晓静
作者单位:青海大学 计算机技术与应用系,青海 西宁 810016
基金项目:国家自然科学基金(61862053)
摘    要:皮影文化传承中由于受众老龄化和传承断代化使得皮影文化逐渐面临没落,基于Kinect实现皮影动作实时匹配能够为传统皮影文化注入新的活力.根据皮影特点构建关节点皮影模型,实现了皮影的静态数字化.基于Kinect获取人体深度图像,通过分割遮罩和机器学习获取人体骨骼点坐标,生成人体骨架.对关节点皮影模型进行骨骼绑定与权重设置,...

关 键 词:关节点皮影模型  Kinect  深度数据采集  动作捕捉  动作实时匹配
收稿时间:2020-10-10

Research on Real-Time Motion Matching of Shadow Play Based on Kinect
Chuanqian Tang,Zhiqiang Liu,Yijun Su,Xiaojing Liu.Research on Real-Time Motion Matching of Shadow Play Based on Kinect[J].Journal of System Simulation,2022,34(3):633-639.
Authors:Chuanqian Tang  Zhiqiang Liu  Yijun Su  Xiaojing Liu
Institution:Department of Computer Technology and Application, Qinghai University, Xining 810016, China
Abstract:In the inheritance of shadow play culture, due to the aging of the audience and the discontinuity of inheritance, the shadow play culture is gradually facing decline. Real-time matching of shadow play movements based on Kinect can inject new vitality into traditional shadow play culture. According to the characteristics of shadow play, a joint point shadow play model is constructed, and the static digitization of shadow play is realized. The human body depth image is obtained based on Kinect, and the human skeleton point coordinates are obtained through segmentation mask and machine learning to generate the human skeleton.Bone binding and weight setting are performed on the joint point shadow play model, and the human body data collected by Kinect are bound to the shadow play. Through the traversal of the skeleton tree and the action matching algorithm, the coordinate mapping is completed to realize the real-time matching between the human body and the shadow play action, thereby completing the digitalization of the dynamic performance of the shadow play.
Keywords:joint point shadow model  Kinect  depth data collection  motion capture  real-time motion matching  
点击此处可从《系统仿真学报》浏览原始摘要信息
点击此处可从《系统仿真学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号