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Parameterization texture mapping method based on the simplification of irregular triangular mesh
Author(s): Zhan-li Li; A-min Hu; Hong-an Li; Xiaojing Liu
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Paper Abstract

To solve the problem of expensive computation caused by a large number of vertexes in the process of mapping texture onto the irregular triangular mesh, this paper proposes a novel parameterization texture mapping method based on the simplification of irregular triangular mesh. First of all, the irregular triangular mesh is simplified by folding the directed edges whose cost is the product of the edge length and its local curvature, while still retaining the local features of the original triangular mesh. Then the simplified irregular triangular mesh is parameterized with the spring-mass mode. Because of the force transitivity performance and the balanced force of inner vertexes, the triangular mesh can be parameterized into a rectangle evenly, which avoids the convergence of texture effectively. Next, to get a more realistic result of texture mapping, the parameterization coordinates of vertexes removed in the process of simplification are retrieved and modified with the spring-mass model according to the topology relationships between reserved vertexes and deleted vertexes. So, we can get the complete parameterization coordinates of vertexes in the irregular triangular mesh. Finally, the texture is mapped onto this irregular triangular mesh. Experiment results show that our algorithms can increase the speed efficiently and yield a more realistic texture.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108064B (9 August 2018); doi: 10.1117/12.2502830
Show Author Affiliations
Zhan-li Li, Xi'an Univ. of Science and Technology (China)
A-min Hu, Xi'an Univ. of Science and Technology (China)
Hong-an Li, Xi'an Univ. of Science and Technology (China)
Xiaojing Liu, Xi'an Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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