基于分层曲线简化的运动捕获数据关键帧提取

Extraction of Keyframe of Motion Capture Data Based on Layered Curve Simplification

引入骨骼夹角作为运动特征,并以此确定候选关键帧;采用分层曲线简化算法精选候选关键帧获得最终关键帧集合;通过对算法参数自适应调节,以满足不同压缩率要求·实验结果表明:该算法具有良好的数据压缩效果及较强的运动概括能力,并在一定程度上保证了同类相似运动间关键帧集合的一致性·

This paper presents a keyframe extraction method. Angles between bones are introduced as motion＇ s features, and keyframe candidates can be found based on them. Then, the layered curve simplification algorithm will be used to refine those candidates and the keyframe collection can be gained. In addition, an adaptive algorithm parameter is employed to meet different requirements for compression. The experiments demonstrate that the proposed method can not only compress and summarize the motion capture data efficiently, but also keep the consistency of keyframe collections between two sequences of similar motion capture data.