DocumentCode
2743145
Title
Octree-based animated geometry compression
Author
Zhang, Jinghua ; Owen, Charles B.
Author_Institution
Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
fYear
2004
fDate
23-25 March 2004
Firstpage
508
Lastpage
517
Abstract
Geometry compression is the compression of the 3D geometric data that provides a computer graphics system with the scene description necessary to render images. Geometric data is quite large and, therefore, needs effective compression methods to decrease the transmission and storage bit requirements. A large amount of research has focused on static geometry compression, but only limited research has addressed animated geometry compression, the compression of temporal sequences of geometry data. This paper proposes an octree-based motion representation method that can be applied to compress animated geometric data. In our approach, 3D animated sequences can be represented with a compression factor of over 100, with slight losses in animation quality. Paper focuses on compressing vertex positions for all the frames. In the proposed approach, only two consecutive frames to generate a small set of motion vectors that represent the motion from the previous frame to the current frame is used. The motion vectors are used to predict the vertex positions for each frame except the first frame. The process generates a hierarchical octree motion representation for each frame. Quantization and an adaptive arithmetic coder are used to achieve further data reduction. The simple and efficient decompression of this approach makes it suitable for real time applications.
Keywords
arithmetic codes; image motion analysis; image representation; octrees; quantisation (signal); rendering (computer graphics); 3D geometric data; adaptive arithmetic coder; computer graphics system; geometry compression; linear quantization; octree-based motion representation method; render images; Animation; Arithmetic; Computational geometry; Computer graphics; Computer science; Data engineering; Image coding; Quantization; Rendering (computer graphics); Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2004. Proceedings. DCC 2004
ISSN
1068-0314
Print_ISBN
0-7695-2082-0
Type
conf
DOI
10.1109/DCC.2004.1281496
Filename
1281496
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