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Neil G. Dickson

dblp:35/3569 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › computational geometry
generalized winding number
0.312018
Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018
Geometric modeling and processing › solid modeling
inside-outside classification
0.312018
Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018
Geometric modeling and processing
point cloud processing
0.312018
Fast winding numbers for soups and clouds · ACM Trans. Graph. 2018
Geometric modeling and processing
winding number
0.312018
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
YearPublicationVenuePosition
2018 Fast winding numbers for soups and clouds
abstract
Inside-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