Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161834
Title: Seamless simplification of multi-chart textured meshes with adaptively updated correspondence
Authors: Zhang, Wenjing
Zheng, Jianmin
Cai, Yiyu
Ynnerman, Anders
Keywords: Engineering::Mechanical engineering
Issue Date: 2022
Source: Zhang, W., Zheng, J., Cai, Y. & Ynnerman, A. (2022). Seamless simplification of multi-chart textured meshes with adaptively updated correspondence. Computers and Graphics, 106, 77-87. https://dx.doi.org/10.1016/j.cag.2022.05.021
Project: 04INS000440C130
KAW 2019.0024
NRF2015VSG- AA3DCM001-018
Journal: Computers and Graphics
Abstract: Meshes obtained by 3D scanning or photogrammetry are usually very dense and multi-chart textured. Effectively reducing the amount of data while preserving both geometry and appearance is an important and also challenging problem. This paper presents a new method for seamless simplification of dense triangular meshes with multi-chart textures. The method is composed of three components: geometry simplification, correspondence map construction and texture image generation. The core of the method lies in the ideas of decoupling geometry, UV-parameterization and texture processes to make the simplification process less constrained by the underlying attribute encoding, a reliable updating procedure for constructing the correspondence map between the simplified and original meshes, and a least squares model for filling texture elements, which are the key to producing artifact-free visual appearance. Compared to the state-of-the-art, the proposed method has several advantages: (1) it enables aggressive simplification with well preserved geometry and appearance; (2) it automatically achieves seamless simplification without special treatment on the seams between multi-charts of the texture; and (3) it is reliable. Experimental results have demonstrated these features.
URI: https://hdl.handle.net/10356/161834
ISSN: 0097-8493
DOI: 10.1016/j.cag.2022.05.021
Schools: School of Mechanical and Aerospace Engineering 
School of Computer Science and Engineering 
Rights: © 2022 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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