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W. Benjamin Trumbore

dblp:80/4942 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1986
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1Human-computer interaction and ubiquitous computing · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › solid modeling
boolean operations
0.011986
Constructive solid geometry for polyhedral objects · SIGGRAPH 1986
Geometric modeling and processing › solid modeling
constructive solid geometry
0.011986
Constructive solid geometry for polyhedral objects · SIGGRAPH 1986
Geometric modeling and processing
solid modeling
0.011986
Constructive solid geometry for polyhedral objects · SIGGRAPH 1986

Methods — techniques the papers use, named apart from their topics

convex polygon decomposition · 0.0
YearPublicationVenuePosition
1986 Constructive solid geometry for polyhedral objects
abstract
Constructive Solid Geometry (CSG) is a powerful way of describing solid objects for computer graphics and modeling. The surfaces of any primitive object (such as a cube, sphere or cylinder) can be approximated by polygons. Being abile to find the union, intersection or difference of these objects allows more interesting and complicated polygonal objects to be created. The algorithm presented here performs these set operations on objects constructed from convex polygons. These objects must bound a finite volume, but need not be convex. An object that results from one of these operations also contains only convex polygons, and bounds a finite volume; thus, it can be used in later combinations, allowing the generation of quite complicated objects. Our algorithm is robust and is presented in enough detail to be implemented.
David H. Laidlaw, W. Benjamin Trumbore, John F. Hughes
SIGGRAPH2