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Fast and accurate distance, penetration, and collision queries using point-sphere trees and distance fields

Published:21 July 2013Publication History

ABSTRACT

Collision detection, force computation, and proximity queries are fundamental in interactive gaming, assembly simulations, or virtual prototyping. However, many available methods have to find a trade-off between the accuracy and the high computational speed required by haptics (1 kHz). [McNeely et al. 2006] presented the Voxmap-Pointshell (VPS) Algorithm, which enabled more reliable six-DoF haptic rendering between complex geometries than other approaches based on polygonal data structures. For each colliding object pair, this approach uses (i) a voxelmap or voxelized representation of one object and (ii) a pointshell or point-sampled representation of the other object (see Figure 2). In each cycle, the penetration of the points in the voxelized object is computed, which yields the collision force. [Barbič and James 2008] extended the VPS Algorithm to support deformable objects. This approach builds hierarchical data structures and distance fields that are updated during simulation as the objects deform.

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References

  1. Barbič, J., and James, D. 2008. Six-dof haptic rendering of contact between geometrically complex reduced deformable models. Haptics, IEEE Transactions on 1, 1 (jan.-june), 39--52. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. McNeely, W. A., Puterbaugh, K. D., and Troy, J. J. 2006. Voxel-based 6-dof haptic rendering improvements. Haptics-e: The Electronic Journal of Haptics Research 3.Google ScholarGoogle Scholar
  3. Sagardia, M., Hulin, T., Preusche, C., and Hirzinger, G. 2008. Improvements of the voxmap-pointshell algorithm - fast generation of haptic data-structures. In 53. IWK - TU Ilmenau.Google ScholarGoogle Scholar

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  • Published in

    cover image ACM Conferences
    SIGGRAPH '13: ACM SIGGRAPH 2013 Posters
    July 2013
    115 pages
    ISBN:9781450323420
    DOI:10.1145/2503385

    Copyright © 2013 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 21 July 2013

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