Large steps in cloth simulation
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
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Robust treatment of collisions, contact and friction for cloth animation
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Efficient collision detection of complex deformable models using AABB trees
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Implementing Fast Cloth Simulation with Collision Response
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An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
An Introduction to the Conjugate Gradient Method Without the Agonizing Pain
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Image-Based Collision Detection for Deformable Cloth Models
IEEE Transactions on Visualization and Computer Graphics
A randomized marking scheme for continuous collision detection in simulation of deformable surfaces
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Kinetic bounding volume hierarchies for deformable objects
Proceedings of the 2006 ACM international conference on Virtual reality continuum and its applications
Fast collision detection for deformable models using representative-triangles
Proceedings of the 2008 symposium on Interactive 3D graphics and games
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Robust continuous collision detection for deformable objects
Proceedings of the 17th ACM Symposium on Virtual Reality Software and Technology
Radial view based culling for continuous self-collision detection of skeletal models
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Dynamic radial view based culling for continuous self-collision detection
Proceedings of the 18th meeting of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games
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In this paper, we introduce new techniques that enhance the computational performance for the interactions between sharp objects and deformable surfaces. The new formulation is based on a time-domain predictor-corrector model. For this purpose, we define a new kind of (\pi, \beta, {\bf I}){\hbox{-}}{\rm surface}. The partitioning of a deformable surface into a finite set of (\pi, \beta, {\bf I}){\hbox{-}}{\rm surfaces} allows us to prune a large number of noncolliding feature pairs. This leads to a significant performance improvement in the collision detection process. The intrinsic collision detection is performed in the time domain. Although it is more expensive compared to the static interference test, it avoids portions of the surfaces passing through each other in a single time step. In order to resolve all the possible collision events at a given time, a penetration-free motion space is constructed for each colliding particle. By keeping the velocity of each particle inside the motion space, we guarantee that the current colliding feature pairs will not penetrate each other in the subsequent motion. A static analysis approach is adopted to handle friction by considering the forces acting on the particles and their velocities. In our formulation, we further reduce the computational complexity by eliminating the need to compute repulsive forces.