Title :
Compressing texture coordinates with selective linear predictions
Author :
Isenburg, Martin ; Snoeyink, Jack
Author_Institution :
North Carolina Univ., Chapel Hill, NC, USA
Abstract :
We describe a strategy for efficient predictive compression of texture coordinates. Previous works in mesh compression often claim that this mesh property can simply be compressed with the same predictor that is already used for vertex positions. However, in the presence of discontinuities in the texture mapping such an approach results in unreasonable predictions. Our method avoids such predictions altogether. Rather than performing an unreasonable prediction, we switch to a less promising, but at least reasonable predictor. The resulting correctors are then compressed with different arithmetic contexts.
Keywords :
data compression; image coding; image texture; mesh generation; mesh compression; predictive compression; selective linear predictions; texture coordinates; texture mapping; Arithmetic; Ear; Geometry; Image coding; Lifting equipment; Mouth; Nose; Solid modeling; Surface texture; Switches;
Conference_Titel :
Computer Graphics International, 2003. Proceedings
Print_ISBN :
0-7695-1946-6
DOI :
10.1109/CGI.2003.1214457