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Fast and compact dynamic data compression based on composite rigid body construction

Science China(Information Sciences) 2014年第11期57卷 66-84页

作者： MA ZhiQiang WANG LiLi ZHANG BoNing KE Wei ZHAO QinPing State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang University Macao Polytechnic Institute

3D dynamic datasets compression still poses two challenges. One is high time cost due to growing data and complex computation of compression algorithms. The other is low compression factor because of complex motions of dynamic scenes and unknown motion equations. In this paper, composite rigid body construction for fast and compact compression of 3D dynamic datasets is proposed to solve these two problems. It accelerates the compression with a fast rigid body decomposition based on disjoint union, and avoids serial searching, comparing and merging of the rigid body decomposition. To increase the compression factor,composite rigid body is introduced with consideration of motion consistency among rigid bodies at different time periods. The results of the experiments show that our algorithm compresses dynamic datasets quickly and achieves a high compression factor.

关键词： time-varying datasets dynamic datasets compression rigid body decomposition disjoint union composite rigid body construction

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Composite Rigid Body Construction for Fast and Compact dynamic Data compression

Composite Rigid Body Construction for Fast and Compact Dynam...

引用

13th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics)

作者： Ma, Zhiqiang Wang, Lili Zhang, Xinwei Ke, Wei Zhao, Qinping Beihang Univ Sch Comp Sci & Engn State Key Lab Virtual Real Technol & Syst Beijing 100191 Peoples R China Macao Polytech Inst Macau Peoples R China

ISBN: (纸本)9781479925766

compression of 3D dynamic datasets in remote visualization still remains two challenges. One is low time performance due to the grown data and complex computation of compression algorithm. Another is small compression factor because of dynamic scenes without known equations of their motions. In this paper, we propose a fast and compact compression for 3D dynamic datasets. It accelerates compression with KD-tree construction and node-grid mapping for the dynamic data, which allow parallel rigid body decomposition and merging with disjoint union method. To increase the compression factor, composite rigid body is introduced with consideration of temporary motion consistency among rigid bodies. The results of the experiments show that our algorithm can compress dynamic datasets quickly and obtain high compression factor to reduce limitation of bandwidth.

关键词： dynamic datasets compression rigid body decomposition disjoint union composite rigid body construction

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