基于Murkowski距离连续的非刚体三维运动恢复算法研究  

Based on the Distance of the Rigid Body Murkowski for 3D Movement Recovery Algorithm Research

作　　者：李学相[1] 安学庆[2] 

机构地区：[1]郑州大学软件技术学院,郑州450002 [2]郑州大学数学系,郑州450002

出　　处：《计算机科学》2012年第11期280-282,共3页Computer Science

基　　金：国家高技术研究发展计划(2007AA010408);河南省自然科学基金项目(0311010500)资助

摘　　要：现有的非刚体三维运动重建算法很难根据不同的场景、不同的非刚体来寻找不同的形状基,这种情况对重建过程产生了很大的影响,造成模型失真。为了解决这一问题,提出一种基于Murkowski距离连续的非刚体三维运动恢复算法,该算法根据在高速分解的图像序列中帧与帧之间的运动参数与特征点位移变化都呈现连续平缓的物理特性,在Murkowski距离约束的情况下,将运动结构参数通过非线性优化的方法来进行求解,最终得到非刚体的三维运动结构,并且通过仿真实验,验证了它的可行。The existing non rigid body three dimensional motion reconstruction algorithm is difficult to find different shapes according to different scene and different non rigid body mus,and this kind of situation will exert great influence on the reconstruction process,cause model distortion.In order to solve this problem,this paper put forward a murkowskidistance based continuous non rigid body three dimensional movement recovery algorithm,which presents continuous physical characteristics on the decomposition of image sequence of frame and frame between the movement parameters and feature point displacement change.Using the physical characteristics will solve motion structure parameter in Murkowski range bound through the nonlinear optimization method,and get the non rigid body 3D motion structure,and the experiment shows that simulation verification results are feasible.

关 键 词：非刚体 Murkowski距离 三维运动重建 非线性优化 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]