Voxelisation is the process of converting a source object of any data type into a three-dimensional grid of voxel val-ues. This voxel grid should represent the original object as closely as possible, although some inaccuracies will occur due to the discrete nature of the voxel grid representation. In this paper we report our on-going research into methods for representing objects as voxelised distance fields, in par-ticular we report fast methods for accurate distance field production. A review of current alternative voxelisation methods is also given.
This thesis is concerned with topics related to dense mapping of large scale three-dimensional space...
Figure 1: Slicemaps (small figures), can be used for several applications and a variety of effects. ...
We propose displaced signed distance fields, an implicit shape representation to accurately, efficie...
Voxelisation is the process of converting a source object of any data type into a three-dimensional ...
Geometric shapes can be represented in a variety of different ways. A distancemap is a map from poin...
A distance volume is a volume dataset where the value stored at each voxel is the shortest distance ...
Distance fields are a widely investigated area within the area of Volume Graphics. Research is divid...
Signed distance functions computed in discrete form from given RGB-D data as regular voxel grids can...
Adaptively Sampled Distance Fields (ADFs) are a unifying representation of shape that integrate nume...
Voxel representations have been used for years in scientific computation and medical imaging. The ma...
In this paper, we propose and evaluate various distance-aware weighting strategies to improve recons...
Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graph...
Traditionally, 3D models, even so called solid ones, can only represent the object's surface inf...
Voxel representations have been used for years in scientific computation and medical imaging. The ma...
A distance volume is a volume dataset where the value stored at each voxel is the shortest distance...
This thesis is concerned with topics related to dense mapping of large scale three-dimensional space...
Figure 1: Slicemaps (small figures), can be used for several applications and a variety of effects. ...
We propose displaced signed distance fields, an implicit shape representation to accurately, efficie...
Voxelisation is the process of converting a source object of any data type into a three-dimensional ...
Geometric shapes can be represented in a variety of different ways. A distancemap is a map from poin...
A distance volume is a volume dataset where the value stored at each voxel is the shortest distance ...
Distance fields are a widely investigated area within the area of Volume Graphics. Research is divid...
Signed distance functions computed in discrete form from given RGB-D data as regular voxel grids can...
Adaptively Sampled Distance Fields (ADFs) are a unifying representation of shape that integrate nume...
Voxel representations have been used for years in scientific computation and medical imaging. The ma...
In this paper, we propose and evaluate various distance-aware weighting strategies to improve recons...
Voxel-based data structures, algorithms, frameworks, and interfaces have been used in computer graph...
Traditionally, 3D models, even so called solid ones, can only represent the object's surface inf...
Voxel representations have been used for years in scientific computation and medical imaging. The ma...
A distance volume is a volume dataset where the value stored at each voxel is the shortest distance...
This thesis is concerned with topics related to dense mapping of large scale three-dimensional space...
Figure 1: Slicemaps (small figures), can be used for several applications and a variety of effects. ...
We propose displaced signed distance fields, an implicit shape representation to accurately, efficie...