Fast Hierarchical 3D Distance Transforms on the GPU

As in the previous examples, we constructed the stiffness and mass matrices using Classical Hierarchical, Truncated Hierarchical and LR B-splines basis functions on the same meshes,

Learning and synthesis in this fashion is accomplished us- ing a Hierarchical Hidden Markov Model (HHMM) where the levels in the hierarchy consist of HMMs that can encode both

The Distance Hierarchy (DH) algorithm adopts a Bounding Volume Hierarchical approach and a feature-based method to obtain a simple and fast technique for collision detection..

On the coarsest hierarchy level, the Monte Carlo estimates can be directly used to update the coefficients of the basis function expansion.. Because finer levels only store deltas,

Our 3D data model uses binary segmented medical volume models, being based on a hierarchical data structure of surfels per organ, namely Surfel Octrees.. Sur- fel Octrees are

We applied our visualization method to publicly available data sets from the RSCB Protein Data Bank (PDB) [BWF ∗ 00] and provided the respective PDB IDs.. The electrostatic

In this paper, we present an adaptive hierarchical method allowing users to interact with geometrically complex 3D deformable objects based on an extended shape matching approach..

We notice that the latter technique is similar to the hierarchical 3D differential analyzer for voxel traversal (H3DDDA) offered by Museth [Mus14] on the CPU, whereby the H3DDDA