Abstract
This paper presents an efficient self-collision detection algorithm for deformable body simulation using programmable graphics processing units(GPUs). The proposed approach stores a triangular mesh representation of a deformable model as 1D textures and rapidly detects self-collisions between all pairs of triangular primitives using the programmable SIMD capability of GPUs [1]. Since pre-computed spatial structure such as bounding volume hierarchy is not used in our algorithm, our algorithm does not require expensive runtime updates to such complex structure as the underlying model deforms. Moreover, in order to overcome a potential bottleneck between CPU and GPU, we propose a hierarchical encoding/decoding scheme using multiple off-screen buffers and multi-pass rendering techniques, which reads only a region of interests in the resulting off-screen buffer.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Rost, R.J.: OpenGL Shading Language. Addison Wesley, Reading (2004)
Cotin, S., Delingette, H., Ayache, N.: A hybrid elastic model for real-time cutting, deformations, and force feedback for surgery training and simulation. The Visual Computer 16, 437–452 (2000)
Lombardo, J., Cani, M., Neyret, F.: Real-time collision detection for virtual surgery. Proceedings of Computer Animation 99, 33–39 (1999)
Elber, G., Kim, M.S.: Offsets, sweeps, and Minkowski sums. Computer-Aided Design 31, 163 (1999)
Ramkumar, G.D.: Tracings and Their Convolutions: Theory and Application. PhD thesis, Standford (1998)
Halperin, D.: Arrangements. Handbook of Discrete and Computational Geometry, 389–412 (1997)
van den Bergen, G.: Efficient collision detection of complex deformable models using AABB trees. Journal of Graphics Tools 2, 1–13 (1997)
Larsson, T., Akenine-Moeller, T.: Collision detection for continuously deforming bodies. In: Proceedings of Eurographics, pp. 325–333 (2001)
Volino, P., Magnenat-Thalmannhen, N.: Efficient self-collision detection on smoothly discretized surface animations using geometrical shape regularity. Proceedings of Eurographics 94, 155–166 (1994)
Hughes, M., DiMattia, C., Lin, M., Manocha, D.: Efficient and accurate interference detection for polynomial deformation and soft object animation. In: Proceedings of Computer Animation Conference, pp. 155–166 (1996)
Lau, R.W., Chan, O.: A collision detection framework for deformable objects. Proceedings of the ACM Symposium on Virtual Reality and Technology, 113–120 (2002)
Govindaraju, N.K., Redon, S., Lin, M.C., Manocha, D.: CULLIDE:interactive collision detection between complex models in large environments using graphics hardware. ACM SIGGRAPH/EUROGRAPHICS Graphics Hardware, 25–32 (2003)
Hoff, K., Zaferakis, A., Lin, M., Manocha, D.: Fast and simple 2D geometric proximity queries using graphics hardware. In: Proceedings of Symposium on Interactive 3D Graphics, pp. 145–148 (2001)
Baciu, G., Wong, W., Sun, H.: Recode: an image based collision detection algorithm. The Journal of Visualization and Computer Animation, 181–192 (1999)
Govindaraju, N.K., Lin, M.C., Manocha, D.: Fast self-collision culling in general environment using graphics processors. In: Technical Report TR03-044 of University of North Carolina at Chapel Hill (2003)
Krueger, J., Westermann, R.: Linear algebra operators for gpu implementation of numerical algorithms. In: Proceedings of SIGGRAPH, pp. 908–916 (2003)
Bolz, J., Farmer, I., Grinspun, E., Schroeder, P.: Sparse matrix solvers on the gpu: Conjugate gradients and multigrid. In: Proceedings of SIGGRAPH, pp. 917–924 (2003)
Pellacini, F., Vidimce, K.: Chapter 37. a toolkit for computation on gpus. In: GPU Gems, pp. 621–636. Addison Wesley, Reading (2004)
Gottschalk, S., Lin, M.C., Manocha, D.: OBBTree: A hierarchical structure for rapid interference detection. In: Proceedings of SIGGRAPH 1996, pp. 171–180 (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Choi, YJ., Kim, Y.J., Kim, MH. (2005). self-CD: Interactive Self-collision Detection for Deformable Body Simulation Using GPUs. In: Baik, DK. (eds) Systems Modeling and Simulation: Theory and Applications. AsiaSim 2004. Lecture Notes in Computer Science(), vol 3398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30585-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-540-30585-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24477-6
Online ISBN: 978-3-540-30585-9
eBook Packages: Computer ScienceComputer Science (R0)