Blue-Noise Remeshing with Farthest Point Optimization
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association and John Wiley and Sons Ltd.
Abstract
In this paper, we present a novel method for surface sampling and remeshing with good blue-noise properties. Our approach is based on the farthest point optimization (FPO), a relaxation technique that generates high quality blue-noise point sets in 2D. We propose two important generalizations of the original FPO framework: adaptive sampling and sampling on surfaces. A simple and efficient algorithm for accelerating the FPO framework is also proposed. Experimental results show that the generalized FPO generates point sets with excellent blue-noise properties for adaptive and surface sampling. Furthermore, we demonstrate that our remeshing quality is superior to the current state-of-the-art approaches.
Description
@article{10.1111:cgf.12442,
journal = {Computer Graphics Forum},
title = {{Blue-Noise Remeshing with Farthest Point Optimization}},
author = {Yan, Dong-Ming and Guo, Jianwei and Jia, Xiaohong and Zhang, Xiaopeng and Wonka, Peter},
year = {2014},
publisher = {The Eurographics Association and John Wiley and Sons Ltd.},
ISSN = {1467-8659},
DOI = {10.1111/cgf.12442}
}