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Using LBG quantization for particle-based collision detection algorithm

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2006年第7期7卷 1225-1232页

作者： SAENGHAENGTHAM Nida kanongchaiyos pizzanu Department of Computer Engineering Faculty of Engineering Chulalongkorn University Thailand

Most collision detection algorithms can be efficiently used only with solid and rigid objects, for instance, Hierarchical methods which must have their bounding representation recalculated every time deformation occurs. An alternative algorithm using particle-based method is then proposed which can detect the collision among non-rigid deformable polygonal models. However, the original particle-based collision detection algorithm might not be sufficient enough in some situations due to the improper particle dispersion. Therefore, this research presents an improved algorithm which provides a particle to detect in each separated area so that particles always covered all over the object. The surface partitioning can be efficiently performed by using LBG quantization since it can classify object vertices into several groups base on a number of factors as required. A particle is then assigned to move between vertices in a group by the attractive forces received from other particles on neighbouring objects. Collision is detected when the distance between a pair of corresponding particles becomes very small. Lastly, the proposed algo- rithm has been implemented to show that collision detection can be conducted in real-time.

关键词： Collision detection Deformable object Particle LBG Vector quantization

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Preserving Details in 3D Fluid Animation by Using Adaptive Kernel Estimation

Preserving Details in 3D Fluid Animation by Using Adaptive K...

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2010 3rd IEEE International Conference on Computer Science and Information Technology—ICCSIT 2010

作者： Saithip Limtrakul pizzanu kanongchaiyos Department of Computer Engineering Faculty of Engineering Chulalongkorn University

In computer animation,animation tools are required for fluid-like motions which are controllable by users or *** of the popular and widely used methods for simulating fluid flow in computer graphics is Smoothed Particle Hydrodynamics （SPH）.Although SPH is practical for applying to fluid movement control and also preserves efficiently properties of fluid flow,it is complicated to simulate various details in same *** study proposes an enhanced method based on Smoothed Particle Hydrodynamics （SPH） which is controllable and automatically kernel length adjustable in order to preserve small details;lost by fixed *** graph is used to construct a structure of an input *** control fluid flow,we use a kind of particle control methods called Skeletal *** Particles or control particles are placed on the center of smoothing kernel in computation *** solve the problem caused by fixed kernel length,we implement the Adaptive Kernel Density Estimation （AKDE） technique into the computation *** weight values for enhancement obtained from two parameters;r w and wd ,of the attributes;Reeb graph contours and density of the regions,***,the smoothing length is dynamically adapted to all given points to be appropriate with density of their *** results show that the length has significant change in small area which has low *** a result,the new kernel length preserves the particles which stay away from the group of particles in dense area.

关键词： component controllable fluid,fluid simulation,Smoothed Particle Hydrodynamics,Adatpive Kernel Density Estimation

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