Animated models coarsening with local area distortion and deformation degree control

Shixue Zhang; Yuanhao Wu; Jinyu Zhao

doi:10.1117/12.867456

19 August 2010 Animated models coarsening with local area distortion and deformation degree control

Shixue Zhang, Yuanhao Wu, Jinyu Zhao

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78200E (2010) https://doi.org/10.1117/12.867456
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

In computer graphics applications, mesh coarsening is an important technique to alleviate the workload of visualization processing. Compared to the extensive works on static model approximation, very little attentions have been paid to animated models. In this paper, we propose a new method to approximate animated models with local area distortion and deformation degree control. Our method uses an improved quadric error metric guided by a local area distortion measurement as a basic hierarchy. Also, we define a deformation degree parameter to be embedded into the aggregated quadric errors, so areas with large deformation during the animation can be successfully preserved. Finally, a mesh optimization process is proposed to further reduce the geometric distortion for each frame. Our approach is fast, easy to implement, and as a result good quality dynamic approximations with well-preserved sharp features can be generated at any given frame.

Citation Download Citation

Shixue Zhang, Yuanhao Wu, and Jinyu Zhao "Animated models coarsening with local area distortion and deformation degree control", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78200E (19 August 2010); https://doi.org/10.1117/12.867456

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available