MURAL - Maynooth University Research Archive Library



    REACT: REal-time Adaptive Collision Testing An Interactive Vision approach


    O'Sullivan, Carol A. and Reilly, Ronan (1997) REACT: REal-time Adaptive Collision Testing An Interactive Vision approach. In: Computer Animation and Simulation ’97. Eurographics . Springer, pp. 163-175. ISBN 9783211830482

    [img]
    Preview
    Download (48kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    As the demand for high levels of interaction in computer systems increases, so too does the need for real-time, interactive animation. Detecting collisions between geometrically modelled objects remains a major bottleneck in areas such as Virtual Reality (VR). In order to maintain a constant frame-rate, a trade-off between speed and accuracy is necessary. This is possible if, at each frame, potential collisions are graded by their importance to the viewer’s perception. An appropriate Level Of Detail (LOD) at which to test each object may then be chosen, based on the importance of the collision in which it is involved. We adopt some ideas from an emerging area of research, Interactive Vision, and propose a scheme which uses an eye-tracking device to locate the position of the user’s gaze. This, along with other perceptual criteria, may be used to choose an appropriate LOD for each colliding object at each frame, allowing the application to degrade detection accuracy where it is least likely to affect the user’s perception of the collision.

    Item Type: Book Section
    Additional Information: Cite this paper as: O’Sullivan C.A., Reilly R.G. (1997) REACT: REal-time Adaptive Collision Testing An Interactive Vision approach. In: Thalmann D., van de Panne M. (eds) Computer Animation and Simulation ’97. Eurographics. Springer, Vienna
    Keywords: REACT; REal-time Adaptive Collision Testing; Interactive Vision; animation; Virtual Reality;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8191
    Identification Number: https://doi.org/10.1007/978-3-7091-6874-5_12
    Depositing User: Prof. Ronan Reilly
    Date Deposited: 03 May 2017 15:19
    Publisher: Springer
    Refereed: Yes
    URI:

    Repository Staff Only(login required)

    View Item Item control page

    Downloads

    Downloads per month over past year