Compressed dynamic mesh sequence for progressive streaming
Compressed dynamic mesh sequence for progressive streaming
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用于渐进式流式传输的压缩动态网格序列
DOI：
10.1002/cav.1847
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发表时间：
2018-07
影响因子：
1.1
通讯作者：
Mingliang Xu
中科院分区：
文献类型：
--
作者：
Bailin Yang;Zhaoyi Jiang;Jiantao Shangguan;Frederick W B Li;Chao Song;Yibo Guo;Mingliang Xu
动态网格序列（DMS）是一种用于精确记录3D动画序列的简单且精确的表示方法。尽管它很简单，但这种表示方法的数据量通常很大，使得存储和传输成本高昂。本文提出……
Dynamic mesh sequence (DMS) is a simple and accurate representation for precisely recording a 3D animation sequence. Despite its simplicity, this representation is typically large in data size, making storage and transmission expensive. This paper presents a novel framework that allows effective DMS compression and progressive streaming by eliminating spatial and temporal redundancy. To explore temporal redundancy, we propose a temporal frame‐clustering algorithm to organize DMS frames by their motion trajectory changes, eliminating intracluster redundancy by principal component analysis dimensionality reduction. To eliminate spatial redundancy, we propose an algorithm to transform the coordinates of mesh vertex trajectory into a decorrelated trajectory space, generating a new spatially nonredundant trajectory representation. We finally apply a spectral graph wavelet transform with color set partitioning embedded block encoding to turn the resultant DMS into a multiresolution representation to support progressive streaming. Experiment results show that our method outperforms several existing methods in terms of storage requirement and reconstruction quality.
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