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Real-Time Cloth Simulation on Virtual Human Character Using Enhanced Position Based Dynamic Framework Technique

Ali, IR, Mohammed, MA, Al-Sharify, AT and Kolivand, H (2020) Real-Time Cloth Simulation on Virtual Human Character Using Enhanced Position Based Dynamic Framework Technique. Baghdad Science Journal, 17 (4). pp. 1294-1303. ISSN 2078-8665

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Abstract

Cloth simulation and animation has been the topic of research since the mid-80's in the field of computer graphics. Enforcing incompressible is very important in real time simulation. Although, there are great achievements in this regard, it still suffers from unnecessary time consumption in certain steps that is common in real time applications. This research develops a real-time cloth simulator for a virtual human character (VHC) with wearable clothing. This research achieves success in cloth simulation on the VHC through enhancing the position-based dynamics (PBD) framework by computing a series of positional constraints which implement constant densities. Also, the self-collision and collision with moving capsules is implemented to achieve realistic behavior cloth modelled on animated characters. This is to enable comparable incompressibility and convergence to raised cosine deformation (RCD) function solvers. On implementation, this research achieves optimized collision between clothes, syncing of the animation with the cloth simulation and setting the properties of the cloth to get the best results possible. Therefore, a real-time cloth simulation, with believable output, on animated VHC is achieved. This research perceives our proposed method can serve as a completion to the game assets clothing pipeline.

Item Type: Article
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: College of Science for Women/ University of Baghdad
Date Deposited: 04 Dec 2020 08:52
Last Modified: 04 Dec 2020 08:52
DOI or Identification number: doi.org/10.21123/bsj.2020.17.4.1294
URI: https://researchonline.ljmu.ac.uk/id/eprint/14120

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