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Hierarchical Shape Matching for Temporally Consistent 3D Video

机译:临时一致的3D视频的分层形状匹配

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In this paper we present a novel approach for temporal alignment of reconstructed mesh sequences with non-rigid surfaces to obtain a consistent representation. We propose a hierarchical scheme for non-sequential matching of frames across the sequence using shape similarity. This gives a tree structure which represents the optimal path for alignment of each frame in the sequence to minimize the change in shape. Non-rigid alignment is performed by recursively traversing the tree to align all frames. Non-sequential alignment reduces problems of drift or tracking failure which occur in previous sequential frame-to-frame techniques. Comparative evaluation on challenging 3D video sequences demonstrates that the proposed approach produces a temporally coherent representation with reduced error in shape and correspondence.
机译:在本文中,我们提出了一种新颖的方法,可对非刚性表面的重建网格序列进行时间对齐以获得一致的表示。我们提出了一种使用形状相似性的跨序列帧非顺序匹配的分层方案。这给出了树形结构,该树形结构表示用于将序列中的每个帧对齐以最小化形状变化的最佳路径。非刚性对齐是通过递归遍历树以对齐所有帧来执行的。非顺序对准减少了在先前的顺序帧间技术中发生的漂移或跟踪失败的问题。对具有挑战性的3D视频序列的比较评估表明,所提出的方法可产生时间相干的表示形式,并减少了形状和对应关系中的错误。

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