Paper
23 February 2023 3D mesh optimization based on contour recovery and least-squares vertex movement allocation
Hang Zhang, Xitun Yuan, Qi Han, Xiongfei Yang, Yongxiao Wen
Author Affiliations +
Proceedings Volume 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022); 125512W (2023) https://doi.org/10.1117/12.2668219
Event: Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 2022, Changchun, China
Abstract
In order to solve the problems of edge and plane passivation and inaccurate distribution of pixel power to vertex in 3D mesh optimization using image matching best surface estimation method, a 3D mesh method based on contour restoration and least square vertex movement is proposed to optimize the initial mesh. Firstly, large scale simplification and subdivision method are combined, the global contour of the level of detail in mesh is restored, and then the vertex gradient accumulation of the least square method is used to allocate the moving amount of the energy of the object in the triangle to the three vertices more accurately. Finally, the smoothing term based on curvature is used to replace the homogenized Laplacian smoothing. The mesh shape is retained while the matching noise is filtered to achieve more refined mesh optimization. After the experimental verification, the feasibility of this method is proved.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hang Zhang, Xitun Yuan, Qi Han, Xiongfei Yang, and Yongxiao Wen "3D mesh optimization based on contour recovery and least-squares vertex movement allocation", Proc. SPIE 12551, Fourth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2022), 125512W (23 February 2023); https://doi.org/10.1117/12.2668219
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KEYWORDS
3D modeling

Networks

Image processing

3D image processing

Mathematical optimization

Visual process modeling

Seaborgium

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