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    Particle Oriented Collision Detection using Simplicial Coverings and Tetra-Trees

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    Date
    2006
    Author
    Jimenez, Juan Jose
    Feito, Francisco R.
    Segura, Rafael J.
    Ogayar, Carlos J.
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    Abstract
    Collision detection (CD) among complex objects in motion is an open question because of its algorithmic complexity. In this paper, we present a CD algorithm between a particle and a complex rigid solid. In order to represent solids, we use a simplicial covering scheme by means of 3-simplices. With this representation system, complex polyhedra and closed triangle meshes can be represented and used in CD with a particle. A particle can be represented by a point, where the real dimensions of the particle are not important. This CD algorithm has been extended for a particle represented by a sphere which in turn represents an approximation to the particle dimensions. In order to efficiently classify the particles and the simplices of the polyhedra covering, we use a new hierarchical data structure named tetra-tree that decomposes the space into tetra-cones. These algorithms also use bounding volumes and temporal and geometric coherence, as well as incremental calculations in order to determine the collision in an efficient and exact way. Because of the use of sign operations with signed volumes and barycentric coordinates, we conclude that operations carried out using this method are more robust and efficient than those used in classic algorithms.
    BibTeX
    @article {10.1111:j.1467-8659.2006.00917.x,
    journal = {Computer Graphics Forum},
    title = {{Particle Oriented Collision Detection using Simplicial Coverings and Tetra-Trees}},
    author = {Jimenez, Juan Jose and Feito, Francisco R. and Segura, Rafael J. and Ogayar, Carlos J.},
    year = {2006},
    publisher = {The Eurographics Association and Blackwell Publishing Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2006.00917.x}
    }
    URI
    http://dx.doi.org/10.1111/j.1467-8659.2006.00917.x
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA