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作 者:徐悦 彭金奇[1] 阎汉生[1] 徐勇军[1] XU Yue;PENG Jinqi;YAN Hansheng;XU Yongjun(Department of Mechanical and Electrical Engineering,Guangdong Polytechnic of Industry&Commerce,Guangzhou,China,510510)
机构地区:[1]广东工贸职业技术学院机电学院,广州510510
出 处:《福建电脑》2023年第6期46-50,共5页Journal of Fujian Computer
基 金:中国职业技术教育学会分支机构、研究院(中心)2021课题(No.2021B162);2022年国家自然科学基金培育项目(No.2022-GJPY-02)资助。
摘 要:针对增材制造中出现的三维模型连续运动高速捕捉情况下丢帧的问题,本文提出了一种连续运动捕捉的新方法。该方法的主要内容是:首先基于多视点视频序列得到两个非同构的静态模型,用联合骨架优化方法自动提取两个模型的骨架结构;然后在最短测地线路径约束下插值出中间动作骨架;接着建立变形距离场DDF来调整表面细节过渡;最后对插值点云进行双边滤波和泊松重建。该方法能自然并准确地捕捉快速和大跨度的动作,速度快,精度高。实验的结果表明,采用该方法基本满足各种运动序列高速捕捉时的有效性和实用性。Aiming at the problem of frame loss in the case of continuous motion high-speed capture of 3D models in additive manufacturing,this paper proposes a new method of continuous motion capture.The main contents of this method are:firstly,two non-isomorphic static models are obtained based on multi-view video sequences,and the skeleton structure of the two models is automatically extracted by the joint skeleton optimization method.Then,the intermediate action skeleton is interpolated under the constraint of the shortest geodesic path.Secondly,the deformation distance field DDF(Deformation Distance Field)is established to adjust the surface detail transition;Finally,bilateral filtering and Poisson reconstruction are performed on the interpolated point cloud.This method can naturally and accurately capture fast and long-span movements,fast speed and high precision.The experimental results show that the method basically meets the effectiveness and practicality of high-speed capture of various motion sequences.
分 类 号:TP391.7[自动化与计算机技术—计算机应用技术]
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