Blue‐Noise Remeshing with Farthest Point Optimization. (August 2014)

• Record Type: Journal Article
• Authors: Yan, Dong‐Ming; Guo, Jianwei; Jia, Xiaohong; Zhang, Xiaopeng; Wonka, Peter
• Is Part Of: Computer graphics forum. Volume 33:Number 5(2014)
• Page Start: 167
• Page End: 176
• Publication Date: 2014-08
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12442
• Languages: English
• ISSNs: 0167-7055

Abstract

<abstract abstract-type="main"> <title>Abstract</title> <p>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‐theߚart approaches.</p> </abstract>