文件名称:keyframe-extraction
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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
-The introduction of the bone angle as motion characteristics and to determine the candidate keyfr a mes layered curve simplification algorithm selected candidate key fr a me to obtain the final key fr a me collection adaptive regulation of the algorithm parameters to meet the requirements of different compression ratios. Experimental results show that: the data compression algorithm has a good effect and strong movement generalization ability, and to some extent, to ensure the consistency of keyfr a me collection contains similar motion
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
-The introduction of the bone angle as motion characteristics and to determine the candidate keyfr a mes layered curve simplification algorithm selected candidate key fr a me to obtain the final key fr a me collection adaptive regulation of the algorithm parameters to meet the requirements of different compression ratios. Experimental results show that: the data compression algorithm has a good effect and strong movement generalization ability, and to some extent, to ensure the consistency of keyfr a me collection contains similar motion
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基于分层曲线简化的运动捕获数据关键帧提取.pdf