Conference proceeding
Temporal Computational Objects: A Process for Dynamic Surface Generation
ADVANCES IN VISUAL COMPUTING, PT II, PROCEEDINGS, v 5359(2), pp 959-969
01 Jan 2008
Abstract
Physics-based modeling techniques have been shown to be advanced methods for creating high quality surfaces for application in CAGD. In this paper we propose a physics-based Temporal Computational Object (TCO) as a modeling process that simulates a liquid membrane to generate organic free-form models. This process compliments existing solid and elastic physics based modeling processes by simulating a common liquid phase of matter. The simulation consists of a mesh that undergoes motion in response to surface tension and other energies, resulting in a smooth, minimum energy surface. The surface is produced via a dynamic process that is directed and influenced by user-defined scalar and vector fields, boundary conditions and a variety of internal parameters and topologies. These surfaces include multiple free intersecting surfaces, volume-preserving Surfaces and periodic surfaces. We provide a wide range of examples that show high quality physics-based surfaces.
Metrics
6 Record Views
1 citations in Scopus
Details
- Title
- Temporal Computational Objects: A Process for Dynamic Surface Generation
- Creators
- Kurt W. Swanson - Drexel UniversityKenneth A. Brakke - Susquehanna UniversityDavid E. Breen - Drexel University
- Contributors
- G Bebis (Editor)R Boyle (Editor)B Parvin (Editor)D Koracin (Editor)P Remagnino (Editor)F Porikli (Editor)J Peters (Editor)J Klosowski (Editor)L Arns (Editor)Y K Chun (Editor)T M Rhyne (Editor)L Monroe (Editor)
- Publication Details
- ADVANCES IN VISUAL COMPUTING, PT II, PROCEEDINGS, v 5359(2), pp 959-969
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Nature
- Number of pages
- 3
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000262709700096
- Scopus ID
- 2-s2.0-70149109372
- Other Identifier
- 991019170377304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Imaging Science & Photographic Technology