Chen, Yin ORCID: https://orcid.org/0000-0003-2976-4912, Lai, Yukun ORCID: https://orcid.org/0000-0002-2094-5680, Cheng, Zhi-Quan, Martin, Ralph Robert and Jin, Shi-Yao
2013.
A data-driven approach to efficient character articulation.
Presented at: 2013 International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics),
Guangzhou, China,
16-18 Nov 2013.
Computer-Aided Design and Computer Graphics (CAD/Graphics), 2013 International Conference on.
IEEE,
pp. 32-37.
10.1109/CADGraphics.2013.11
|
Official URL: http://dx.doi.org/10.1109/CADGraphics.2013.11
Abstract
n this paper, we propose a data-driven approach for realistic deformation of articulated meshes: the wide availability of pose data makes such an approach feasible. We use multiple reference models, combined with a fast linear blending skinning (LBS) method in local spaces. By exploiting information from the reference models, realistic deformation is achieved, yet with computational efficiency comparable to traditional blending methods-our approach is suitable for real-time applications. We demonstrate the effectiveness of our algorithm using various examples.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Schools > Computer Science & Informatics |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Publisher: | IEEE |
| Last Modified: | 27 Oct 2022 09:42 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/67326 |
Citation Data
Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data
Actions (repository staff only)
![]() |
Edit Item |





Altmetric
Altmetric