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作 者:陈晓坚 CHEN Xiaojian(Guanzhou huashan college,Guangzhou 511300,China)
机构地区:[1]广州华商学院,广州511300
出 处:《自动化与仪器仪表》2023年第12期144-147,151,共5页Automation & Instrumentation
基 金:广东省普通高校重点领域专项项目《虚拟制片技术在数字影视领域的应用与拓展》(2021ZDZX3014);广州华商学院导师制项目(2023HSDS11)。
摘 要:针对传统现代舞演示效果不佳的问题,基于动作捕捉技术,构建一个支持多端应用的现代舞演示系统。其中,首先通过Vicon三维动作捕捉系统获取专业舞者动作轨迹的三维坐标点,并对舞蹈动作数据进行预处理;然后采用Maya软件构建基础的舞蹈角色模型,利用神经融合形状技术实现模型骨骼绑定和蒙皮权重的调节,并使用数据融合算法实现对模型的头部、躯干、四肢和手指运动的驱动;最后将现代舞二维数据和三维舞蹈角色模型导入Unity 3D中,实现演示系统各功能模块的开发。结果表明,采用动作捕捉技术进行舞蹈动作采集,可提升数据处理效率,并简化了构建人物模型的工作流程;数据融合算法对每个文件的数据匹配时间为2.5 s~3.5 s,比人工手动融合减少36 s左右。说明数据融合算法可提升数据匹配效率;系统测试得出,演示系统各功能模块完善,可满足现代舞的数字化演示,具有一定的参考性。In response to the problem of poor performance in traditional modern dance demonstrations,a modern dance demonstration system that supports multi end applications is constructed based on motion capture technology.Firstly,the 3D coordinate points of professional dancers' motion trajectories are obtained through the Vicon 3D motion capture system,and the dance motion data is preprocessed;Then,a basic dance character model is constructed using Maya software,and neural fusion shape technology is used to achieve bone binding and skin weight adjustment of the model.Data fusion algorithms are also used to drive the movement of the model's head,trunk,limbs,and fingers;Finally,modern dance 2D data and 3D dance character models are imported into Unity 3D to achieve the development of various functional modules of the demonstration system.The results show that using motion capture technology for dance motion collection can improve data processing efficiency and simplify the workflow of building character models;The data fusion algorithm has a data matching time of 2.5-3.5 seconds for each file,which is about 36 seconds less than manual fusion.Explain that data fusion algorithms can improve data matching efficiency;The system testing shows that the demonstration system has complete functional modules,which can meet the digital demonstration of modern dance and has certain reference value.
关 键 词:现代舞 数字化教学 动作捕捉技术 演示系统 虚拟现实
分 类 号:TP392[自动化与计算机技术—计算机应用技术]
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