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Motion Key-Frames Extraction Based on Locally Linear Embedding

机译:基于局部线性嵌入的运动键框架提取

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A motion key-frames extraction algorithm based on LLE was presented. First, the dimensionality of motion capture data was reduced by LLE method to obtain the low dimension feature curve. Second, the initial key-frames were obtained by extracting the local extreme points. In the end, according to the difference of feature curve amplitude and the threshold, the corresponding key-frames were inserted to get the final key-frames. A amount of experiments showed that the algorithm could generalize the content of original motion sequence on the basis of the compression ratio and low error rate.
机译:提出了一种基于LLE的运动键框架提取算法。 首先,通过LLE方法减少运动捕获数据的维度,以获得低维特征曲线。 其次,通过提取局部极端点来获得初始键帧。 最后,根据特征曲线幅度的差异和阈值,插入相应的键帧以获取最终键帧。 一定量的实验表明,该算法可以基于压缩比和低差速率概括原始运动序列的内容。

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