Demo Data from EDBT 2026 / reviewers in the wild / expert
Neil G. Dickson
dblp:35/3569
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0001-9079-8666ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Geometric modeling and processing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing › computational geometry
generalized winding number |
0.3 | 1 | 2018 | Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018 |
Geometric modeling and processing › solid modeling
inside-outside classification |
0.3 | 1 | 2018 | Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018 |
Geometric modeling and processing
point cloud processing |
0.3 | 1 | 2018 | Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018 |
Geometric modeling and processing
winding number |
0.3 | 1 | 2018 | Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018 |
Methods — techniques the papers use, named apart from their topics
tree-based algorithms · 0.3fast multipole method · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Fast winding numbers for soups and cloudsabstractInside-outside determination is a basic building block for higher-level geometry processing operations. Generalized winding numbers provide a robust answer for triangle meshes, regardless of defects such as self-intersections, holes or degeneracies. In this paper, we further generalize the winding number to point clouds. Previous methods for evaluating the winding number are slow for completely disconnected surfaces, such as triangle soups or-in the extreme case- point clouds. We propose a tree-based algorithm to reduce the asymptotic complexity of generalized winding number computation, while closely approximating the exact value. Armed with a fast evaluation, we demonstrate the winding number in a variety of new applications: voxelization, signing distances, generating 3D printer paths, defect-tolerant mesh booleans and point set surfaces. Gavin Barill, Neil G. Dickson, Ryan M. Schmidt, David I. W. Levin, Alec Jacobson |
ACM Trans. Graph. | 2 |