The performance bottleneck of physics based animation is often the collision detection. It is well-known by prac-titioners that the collision detection may consume 80-90 % of the simulation time. In this work we will introduce a novel approach for collision detection using bounding volume hierarchies. Instead of the traditional stack, a binary stack is used, containing information about which of the two bounding volume hierarchies has been descended. Our new algorithm and data structure can be used on GPUs and on hardware platforms, where memory is sparse. As proof-of-concept we demonstrate a GPU implementation for a multibody dynamics simulation, showing an overall speedup of a factor of 4-5
We present novel algorithms for efficient hierarchical collision detection and propose a hardware ar...
In this paper, a novel sphere-tree generation method used for collision detection is proposed. Using...
We present in this paper several contributions on the collision detection optimization centered on h...
We present data structures and algorithms for dynamic collision detection in virtual reality (VR) a...
We present novel parallel algorithms for collision detection and separation distance computation for...
Collision detection is of paramount importance for many applications in computer graphics and visual...
Collision detection is a popular topic in computer graphics. Any physics-based application (e.g. sur...
We present the work in progress of a collision detection (CD) algorithm on a multi-threaded environm...
In virtual environment world, performing collision detection between various 3D objects requires sop...
We present novel algorithms for efficient hierarchical collision detection and propose a hardware ar...
We present parallel algorithms to accelerate collision queries for sample-based motion planning. Our...
We present a hardware architecture for a single-chip acceleration of an efficient hierarchical colli...
We present parallel algorithms to accelerate collision queries for sample-based motion planning. Our...
International audienceWe present an interactive algorithm for continuous collision detection between...
We present a novel bounding volume hierarchy that allows for extremely small data structure sizes wh...
We present novel algorithms for efficient hierarchical collision detection and propose a hardware ar...
In this paper, a novel sphere-tree generation method used for collision detection is proposed. Using...
We present in this paper several contributions on the collision detection optimization centered on h...
We present data structures and algorithms for dynamic collision detection in virtual reality (VR) a...
We present novel parallel algorithms for collision detection and separation distance computation for...
Collision detection is of paramount importance for many applications in computer graphics and visual...
Collision detection is a popular topic in computer graphics. Any physics-based application (e.g. sur...
We present the work in progress of a collision detection (CD) algorithm on a multi-threaded environm...
In virtual environment world, performing collision detection between various 3D objects requires sop...
We present novel algorithms for efficient hierarchical collision detection and propose a hardware ar...
We present parallel algorithms to accelerate collision queries for sample-based motion planning. Our...
We present a hardware architecture for a single-chip acceleration of an efficient hierarchical colli...
We present parallel algorithms to accelerate collision queries for sample-based motion planning. Our...
International audienceWe present an interactive algorithm for continuous collision detection between...
We present a novel bounding volume hierarchy that allows for extremely small data structure sizes wh...
We present novel algorithms for efficient hierarchical collision detection and propose a hardware ar...
In this paper, a novel sphere-tree generation method used for collision detection is proposed. Using...
We present in this paper several contributions on the collision detection optimization centered on h...