@inproceedings{tewari2004signal-specialized,
author = {Tewari, Geetika and Snyder, John and Sander, Pedro V. and Gortler, Steven J. and Hoppe, Hugues},
title = {Signal-Specialized Parameterization for Piecewise Linear Reconstruction},
booktitle = {Eurographics Symposium on Geometry Processing (2004)},
year = {2004},
month = {July},
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},
publisher = {ACM},
url = {http://approjects.co.za/?big=en-us/research/publication/signal-specialized-parameterization-piecewise-linear-reconstruction/},
pages = {55-64},
edition = {Eurographics Symposium on Geometry Processing (2004)},
}