Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/85378
Title: Lightweight preprocessing and fast query of geodesic distance via proximity graph
Authors: Xin, Shiqing
Wang, Wenping
He, Ying
Zhou, Yuanfeng
Chen, Shuangmin
Tu, Changhe
Shu, Zhenyu
Keywords: Proximity Graph
Geodesic Distance
Engineering::Computer science and engineering
Issue Date: 2018
Source: Xin, S., Wang, W., He, Y., Zhou, Y., Chen, S., Tu, C., & Shu, Z. (2018). Lightweight preprocessing and fast query of geodesic distance via proximity graph. Computer-Aided Design, 102, 128-138. doi:10.1016/j.cad.2018.04.021
Series/Report no.: Computer-Aided Design
Abstract: Computing geodesic distance on a mesh surface efficiently and accurately is a central task in numerous computer graphics applications. In order to deal with high-resolution mesh surfaces, a lightweight preprocessing is a proper choice to make a balance between query accuracy and speed. In the preprocessing stage, we build a proximity graph with regard to a set of sample points and keep the exact geodesic distance between any pair of nearby sample points. In the query stage, given two query points and , we augment the proximity graph by adding and on-the-fly, and then use the shortest path between and on the augmented proximity graph to approximate the exact geodesic path between and . We establish an empirical relationship between the number of samples and expected accuracy (measured in relative error), which facilitates fast and accurate query of geodesic distance with a lightweight processing cost. We exhibit the uses of the new approach in two applications—real-time computation of discrete exponential map for texture mapping and interactive design of spline curves on surfaces.
URI: https://hdl.handle.net/10356/85378
http://hdl.handle.net/10220/49218
ISSN: 0010-4485
DOI: 10.1016/j.cad.2018.04.021
Rights: © 2018 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

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