An improved mean curvature-based bending model for cloth simulation. (29th March 2021)
- Record Type:
- Journal Article
- Title:
- An improved mean curvature-based bending model for cloth simulation. (29th March 2021)
- Main Title:
- An improved mean curvature-based bending model for cloth simulation
- Authors:
- Tan, Xiaohui
Guo, Ruiliang - Abstract:
- In cloth animation, the bending behaviour of a cloth is important for cloth simulation effects. The presentation of cloth bending properties plays a key role in cloth animation research because cloth is characterised by a strong resistance to stretch while weak resistance to bending. This paper proposed an improved approximate nonlinear bending model based on local geometric information. In the dynamic simulation, a cloth was divided into several regions according to mean curvature of surface. The bending force was updated according to the changes of the mean curvature in each region. Based on differential geometry and the dynamic simulation of the cloth, the calculation of bending force was simple and accurate with the proposed model. Experimental results show that wrinkles and folds generated in a natural way with the improved model and the efficiency of simulation is improved compared with the original algorithm.
- Is Part Of:
- International journal of information technology and management. Volume 20:Number 1/2(2021)
- Journal:
- International journal of information technology and management
- Issue:
- Volume 20:Number 1/2(2021)
- Issue Display:
- Volume 20, Issue 1/2 (2021)
- Year:
- 2021
- Volume:
- 20
- Issue:
- 1/2
- Issue Sort Value:
- 2021-0020-NaN-0000
- Page Start:
- 95
- Page End:
- 109
- Publication Date:
- 2021-03-29
- Subjects:
- bending model -- cloth simulation -- mean curvature -- surface segmentation -- nonlinear -- bending force -- region partition
Management information systems -- Periodicals
Information technology -- Periodicals
Management -- Data processing -- Periodicals
658.403805 - Journal URLs:
- http://www.inderscience.com/ ↗
- Languages:
- English
- ISSNs:
- 1461-4111
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15316.xml