DocumentCode
2298904
Title
Data Hiding based Compression Mechanism for 3D Models
Author
Li, Hui ; Agarwal, Parag ; Prabhakaran, Balakrishnan
Author_Institution
Dept. of Comput. Sci., Univ. of Texas at Dallas, Dallas, TX
fYear
2007
fDate
27-29 March 2007
Firstpage
391
Lastpage
391
Abstract
Different compression methods (Jingliang Peng et al., 2005) such as progressive meshes and single refinement mesh compression exist for mesh representation for 3D models and improving them is a challenge. This paper is a step in this direction, where we show that data hiding methods can be used to significantly improve the compression achieved for such methods. 3D meshes are made up of connectivity (edge set E) and geometric (vertices set V) information. The data hiding method should provide a very high embedding rate in order to achieve a desirable compression ratio. This can be modeled mathematically, given ´V points or vertices in 3D space; for a given compression ratio we use ´AT´ points and hide rest of the connectivity and geometric information inside it. These points are termed as the encoding points and the encoded information is termed is the compressed information.
Keywords
data compression; data encapsulation; 3D model; data hiding based compression mechanism; mesh representation; single refinement mesh compression; Computer science; Data encapsulation; Encoding; Equations; Image coding; Mathematical model; Quantization; Solid modeling; Streaming media; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2007. DCC '07
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
0-7695-2791-4
Type
conf
DOI
10.1109/DCC.2007.30
Filename
4148792
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