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Volumetric Object Modeling Using Internal Shape Preserving Constraint in Unity 3D

Do-kyeong Lee1, Tae-won Kim2, Yoo-joo Choi2, Min Hong3,*
1 Department of Software Convergence, Soonchunhyang University, Asan, 31538, Korea
2 Department of AI S/W Engineering, Seoul Media Institute of Technology, Seoul, 07590, Korea
3 Department of Computer Software Engineering, Soonchunhyang University, Asan, 31538, Korea
* Corresponding Author: Min Hong. Email:

Intelligent Automation & Soft Computing 2022, 32(3), 1541-1556. https://doi.org/10.32604/iasc.2022.020674

Received 02 June 2021; Accepted 16 July 2021; Issue published 09 December 2021

Abstract

In real-time contents, such as games and interactive simulators, it is very important to reduce the amount of simulation computation of 3D deformable objects. Although position-based dynamics has been proposed to reduce the amount of computation, the number of nodes for the tetrahedral model to represent a volumetric deformable object has to be increased, which makes the real-time simulation difficult. Therefore, this paper proposes an Internal shape preserving constraint(ISPC) generation algorithm integrated into the position-based dynamics to represent the physical properties of the 3D volumetric deformable object, while reducing the number of nodes filling the interior of the object. The proposed algorithm not only provides motion behavior similar to the tetrahedral model by using a surface model, but also enables real-time simulation by reducing the number of nodes constituting the 3D virtual object. It showed high FPS with reduced computation time compared to the tetrahedral model, and the volume maintenance and physical properties of model were expressed similarly to the tetrahedral model.

Keywords

Position-based dynamics; physically-based simulation; unity3D; simulation; volumetric deformable modeling

Cite This Article

D. Lee, T. Kim, Y. Choi and M. Hong, "Volumetric object modeling using internal shape preserving constraint in unity 3d," Intelligent Automation & Soft Computing, vol. 32, no.3, pp. 1541–1556, 2022.



This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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