Name
Abstract | ||
|---|---|---|
We propose a metric for surface parameterization specialized to its signal that can be used to create more efficient, high-quality texture maps. Derived from Taylor expansion of signal error, our metric predicts the signal approximation error - the difference between the original surface signal and its reconstruction from the sampled texture. Unlike previous methods, our metric assumes piecewise-linear reconstruction, and thus makes a good approximation to bilinear reconstruction employed in graphics hardware. We achieve significant savings in texture area for a desired signal accuracy compared to the signal-specialized parameterization metric proposed by Sander et al. in the 2002 Eurographics Workshop on Rendering. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1057432.1057440 | Symposium on Geometry Processing |
Keywords | Field | DocType |
signal accuracy,piecewise-linear reconstruction,original surface signal,piecewise linear reconstruction,texture area,eurographics workshop,signal error,signal approximation error,signal-specialized parameterization,high-quality texture map,surface parameterization,good approximation,graphics hardware,texture mapping,approximation error,computer graphics,piecewise linear,taylor expansion | Computer vision,Texture mapping,Mathematical optimization,Texture compression,Graphics hardware,Computer science,Artificial intelligence,Rendering (computer graphics),Piecewise linear function,Approximation error,Texture filtering,Bilinear interpolation | Conference |
ISBN | Citations | PageRank |
3-905673-13-4 | 18 | 1.00 |
References | Authors | |
19 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Geetika Tewari | 1 | 220 | 15.68 |
| John Snyder | 2 | 2579 | 172.17 |
| Pedro V. Sander | 3 | 1111 | 63.92 |
| Steven J. Gortler | 4 | 4205 | 366.17 |
| Hugues Hoppe | 5 | 9563 | 754.57 |