基于光学运动捕捉的虚拟人体标定技术  

A Technique for Virtual Human Calibration Based on Optical Motion Capture

作　　者：侯永隆[1] 宁涛[1] 王可 

机构地区：[1]北京航空航天大学机械工程及自动化学院,北京100191 [2]北京瑞风协同科技股份有限公司,北京100098

出　　处：《图学学报》2013年第5期126-131,45,共7页Journal of Graphics

基　　金：国家自然科学基金资助项目(51075021)

摘　　要：分析关节对骨骼段运动的约束,基于光学运动捕捉设备给出两种关节中心参数估计模型——双骨骼段模型和球模型。对两种模型分别给出最小二乘解法,通过求解线性方程组得到关节中心位置。利用虚拟铰链测试了两种解法的精度,选取精度较高的双骨骼段模型,结合虚拟人的关节结构提出一种虚拟人体标定技术。比较某表演者四肢的测量值和标定值,得出标定误差在4.3%以内。对标定后的虚拟人进行驱动,标定后的虚拟人逼真地复制了表演者的动作,并减少了肢体交叉。Based on optical motion capture,two joint center estimation models：Bi-segrnent Model and Sphere Model are given by analyzing the motion of segments constrained by joints.For each model a least squares solution is presented respectively and the joint center location could be acquired by solving a linear equation.A virtual linkage is used to test the accuracy of the two least squares solutions.Using the Bi-segment Model which is more accurate,a technique for virtual human calibration is proposed based on the topology of the virtual human.The comparison of measured values and calibrated values of a performer demonstrates errors for limbs are less than 4.3％.Finally,the calibrated virtual human is driven.The result shows the virtual human can mimic the performer vividly and limbs intersection cases are reduced.

关 键 词：光学运动捕捉 关节中心参数估计 最小二乘法 虚拟人体标定 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]