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 |
Appears in Collections: | MAE Journal Articles SCSE Journal Articles |
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