Title
Lossless Compression of 3D Grid-Based Model Based on Octree
Abstract
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
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
Name
Order
Citations
PageRank
Bin Zou18622.73
Xiao Wang201.35
Ye Zhang330443.70
Zhilu Wu418429.47