This paper proposes an improved motion retargeting algorithm based on existing captured motion data and inverse kinematics. The basic notion of proposed algorithm is to estimate the end-effector tracjectories of target character by exploiting the ratio between skeleton lengths of the original character and the target character. Since important aspects of the original motion are identified as end-effector constraints which is satisfied during the retargeting process

the retargeted motion preserves desired main features. Moreover

the retargeted motion data behaves quite naturally

since the anthopometric proportions are incorporated in the algorithm. Several empirical tests are given to demonstrate the effectiveness and quality of our algorithm.