Hostname: page-component-76fb5796d-vvkck Total loading time: 0 Render date: 2024-04-27T04:17:27.081Z Has data issue: false hasContentIssue false

On interacting with physics-based models of graphical objects

Published online by Cambridge University Press:  21 April 2004

Shahram Payandeh
Affiliation:
Experimental Robotics and Graphics Laboratory, School of Engineering Science, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia (CANADA), V5A 1S6. E-mail: aharam@cs.sfu.ca
John Dill
Affiliation:
Experimental Robotics and Graphics Laboratory, School of Engineering Science, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia (CANADA)dill@cs.sfu.ca
Zhu Liang Cai
Affiliation:
Experimental Robotics and Graphics Laboratory, School of Engineering Science, Simon Fraser University, 8888 University Drive, Burnaby, British Columbia (CANADA)

Abstract

Enhancing graphical objects whose behaviors are governed by the laws of physics is an important requirement in modeling virtual physical environments. In such environments, the user can interact with graphical objects and is able to either feel the simulated reaction forces through a physical computer interface such as a force feedback mouse or through such interactions, objects behave in a natural way. One of the key requirements for such interaction is determination of the type of contact between the user controlled object and the objects representing the environment. This paper presents an approach for reconstructing the contact configuration between two objects. This is accomplished through usage of the time history of the motion of the approaching objects for inverse trajectory mapping of polygonal representation. In the case of deformable objects and through usage of mass-spring-damper system this paper also presents a special global filter that can map the local deformation of an object to the adjacent vertices of polygonal mesh. In addition to offering a fast computational framework, the proposed method also offers more realistic representation of the deformation. The results of this paper are shown through detailed examples and comparison analysis using different computational platforms.

Type
Research Article
Copyright
2004 Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)