We present an efficient approach to reduce the number of elementary tests for continuous collision detection between rigid and deformable models. Our algorithm exploits the connect...
Abstract We propose a particle-based technique for simulating incompressible fluid that includes adaptive refinement of particle sampling. Each particle represents a mass of fluid ...
Abstract We present an efficient method for importance sampling the product of multiple functions. Our algorithm computes a quick approximation of the product on-the-fly, based on ...
The paper presents a 2D or 3D shape deformation method which incorporates global and local stiffness controls. First, a geometric object is embedded into a regular lattice and then...
We present an adaptive out-of-core technique for rendering massive scalar volumes employing single pass GPU raycasting. The method is based on the decomposition of a volumetric dat...
We present a remeshed vortex particle method for incompressible flow simulations on GPUs. The particles are convected in a Lagrangian frame and are periodically reinitialized on a ...
We propose a method to determine camera parameters for character motion, which considers the motion by itself. The basic idea is to approximately compute the area swept by the moti...
Abstract We propose a new featurebased registration method for rigidbody alignment of overlapping point clouds (PCs) efficiently under the influence of noise and outliers. The prop...
Animation authoring involves an author's interaction with a scene, resulting in varying scene complexity for a given animation sequence. In such a varying environment, detecti...
Parag Agarwal, Srinivas Rajagopalan, B. Prabhakara...
Modeling is a severe bottleneck for computer graphics applications. Manual modeling is time consuming and fails to capture the complexity of real world scenes. Automated modeling b...