CAJ | 학술논문

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。
연구료재인체동화중최유응용전경적운동포착기술적수거중용문제，제출료일충기우물리약속적중정향방법，이제고이용포착도적운동수거생성신적운동적수평。해방법채용위이영사기술규정목표운동적궤적，보류원시운동적세절，연후결합무적잡이만려파(UKF)산법진행비선성약속적구해，보증료인물각색운동적물리진실성。통과실험분석가지，해방법재보류원시운동특성적전제하，가이생성자연적운동，가강료운동수거적중용성。
A study on the data reusability of motion capture, the most promising technology in character animation, was conducted, and a motion retargeting method based on physical constraint was proposed to improve the quality of the new motions created by using the captured 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.