Locality-Preserving Free-Form Deformation
Tsukasa Fukusato1, Akinobu Maejima2, 3, and Takeo Igarashi4
1 Waseda University
2 OLM Digital Inc.
3 IMAGICA GROUP Inc.
4 The University of Tokyo
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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.
Acknowledgement
Acknowledgement
This paper is based on results obtained from GENIAC (Generative AI Accelerator Challenge, a project to strengthen Japan’s generative AI development capabilities), a project implemented by the Ministry of Economy, Trade, and Industry (METI) and the New Energy and Industrial Technology Development Organization (NEDO). This work was partially supported by JSPS KAKENHI Grant Number JP24K20910.
Publication
Publication
Tsukasa Fukusato, Akinobu Maejima, and Takeo Igarashi. "Locality-Preserving Free-Form Deformation." The Visual Computer, Vol.41, Issue.9, pp.6905--6915, Springer, 2025.05.
Related Publication
Related Publication
Tsukasa Fukusato, Ryohei Shibata, Seung-Tak Noh, and Takeo Igarashi. "Interactive Texture Editing for Garment Line Drawings." Computer Animation and Virtual Worlds (Special Issue of CGI 2022), Vol.33, Issue.6, pp.e2117:1--e2117:13, Wiley, 2022.12. [doi]
Tsukasa Fukusato and Akinobu Maejima. "View-Dependent Deformation for 2.5D Cartoon Models." IEEE Computer Graphics and Applications, Vol.42, Issue.5, pp.66--75, 2022.10. [doi]
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