Locality-Preserving Free-Form Deformation

Abstract This paper proposes a method to estimate the locations of grid handles in free-form deformation (FFD) while preserving the local shape characteristics of the 2D/3D input model embedded into the grid, named locality-preserving FFD (lp-FFD). Users first specify some vertex locations in the input model and grid handle locations. The system then optimizes all locations of grid handles by minimizing the distortion of the input model’s mesh elements. The proposed method is fast and stable, allowing the user to directly and indirectly make the deformed shape of the mesh model and grid. This paper shows some examples of deformation results to demonstrate the robustness of our lp-FFD. In addition, we conducted a user study and confirm our lp-FFD’s efficiency and effectiveness in shape deformation is higher than those of existing methods used in commercial software.

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Publication Details

Journal
The Visual Computer
Published
2025-05-27
DOI
https://doi.org/10.1007/s00371-025-04011-7
Primary Topic
Computational Geometry and Mesh Generation
Type
article
Field-Weighted Citation Impact
0.00

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article

Locality-Preserving Free-Form Deformation

Tsukasa Fukusato, Akinobu Maejima, Takeo Igarashi
1 links
The Visual Computer
Computational Geometry and Mesh Generation
article

Locality-Preserving Free-Form Deformation

Tsukasa Fukusato, Akinobu Maejima, Takeo Igarashi
article en

Abstract

Abstract This paper proposes a method to estimate the locations of grid handles in free-form deformation (FFD) while preserving the local shape characteristics of the 2D/3D input model embedded into the grid, named locality-preserving FFD (lp-FFD). Users first specify some vertex locations in the input model and grid handle locations. The system then optimizes all locations of grid handles by minimizing the distortion of the input model’s mesh elements. The proposed method is fast and stable, allowing the user to directly and indirectly make the deformed shape of the mesh model and grid. This paper shows some examples of deformation results to demonstrate the robustness of our lp-FFD. In addition, we conducted a user study and confirm our lp-FFD’s efficiency and effectiveness in shape deformation is higher than those of existing methods used in commercial software.

The Visual ComputerVol. 41(9)
Waseda University (JP), Group Image (Poland) (PL), The University of Tokyo (JP)
Ministry of Economy, Trade and Industry, Japan Society for the Promotion of Science
Openalex Percentile: Top 80%
Computational Geometry and Mesh Generation
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