摘要
研究了在人体动画中最有应用前景的运动捕捉技术的数据重用问题,提出了一种基于物理约束的重定向方法,以提高利用捕捉到的运动数据生成新的运动的水平。该方法采用位移映射技术规定目标运动的轨迹,保留原始运动的细节,然后结合无迹卡尔曼滤波(UKF)算法进行非线性约束的求解,保证了人物角色运动的物理真实性。通过实验分析可知,该方法在保留原始运动特性的前提下,可以生成自然的运动,加强了运动数据的重用性。
A study on the data reusability conducted, and a motion retargeting new motions created by using the ca of motion capture, the most promising technology in character animation, was method based on physical constraint was proposed to improve the quality of the ptured data. The method adopts the technology of displacement mapping to set the target motion trajectory, and keeps original motion details. To guarantee the physical authenticity of character motions, it uses the UKF algorithm to solve nonlinear constraints. The experimental results demonstrate that the proposed method can create natural motions under the premise of keeping original motion characteristics to enhance the reusability of the captured motion data.
出处
《高技术通讯》
CAS
CSCD
北大核心
2014年第10期1062-1068,共7页
Chinese High Technology Letters
基金
国家科技重大专项(GFY3Q003CY/01)资助项目
关键词
运动重定向
物理约束
位移映射
约束求解
无迹卡尔曼滤波
motion retargeting, physical constraint, displacement mapping, constraint solving, unscentedKalman filter （UKF）
