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 keyframes layered curve simplification algorithm selected candidate key frame to obtain the final key frame 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 keyframe 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 keyframes layered curve simplification algorithm selected candidate key frame to obtain the final key frame 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 keyframe 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
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