Abstract | ||
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Grid-based model is used to describe 3D objects in many circumstances. It can represent fine structure of objects by using small grid. However, small grid causes problem that data of grid-based model occupies much space, which leads to difficulties of transmission and storage. This paper presents an effective compression method for 3D data. In this method, 8-byte float coordinates of each grid are transferred to 1-bit binary codes. Then the binary data is coded by octree further. The experiment result shows that the 3D data can be efficiently compressed. The method is lossless. The complete raw data can be obtained by decoding. |
Year | DOI | Venue |
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2013 | 10.1109/DCC.2013.116 | DCC |
Keywords | Field | DocType |
grid-based model,lossless compression,binary data,small grid,fine structure,complete raw data,experiment result,1-bit binary code,8-byte float,effective compression method,binary code,decoding,geometry,data compression,binary codes,solid modeling,data models,octree | Computer vision,Lossy compression,Computer science,Theoretical computer science,Artificial intelligence,Binary data,Data compression,Image compression,Grid,Octree,Lossless compression,Context-adaptive binary arithmetic coding | Conference |
ISSN | Citations | PageRank |
1068-0314 | 0 | 0.34 |
References | Authors | |
0 | 4 |