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Frank O'Gorman

dblp:25/2413 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 1978
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 first-authorSystems, architecture and hardware · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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
3 papers
Image and video processing · 93% Geometric modeling and processing · 7%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing
edge detection
0.031978
Edge Detection Using Walsh Functions · Artif. Intell. 1978
Finding Picture Edges Through Collinearity of Feature Points · IEEE Trans. Computers 1976
Finding Picture Edges through Collinearity of Feature Points · IJCAI 1973
Image and video processing › edge detection
line detection
0.011976
Finding Picture Edges Through Collinearity of Feature Points · IEEE Trans. Computers 1976
Geometric modeling and processing › spatial reasoning › geometric reasoning › line drawing interpretation
polyhedral scene interpretation
0.011976
Finding Picture Edges Through Collinearity of Feature Points · IEEE Trans. Computers 1976

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

walsh functions · 0.0parametric edge representation · 0.0hough transform · 0.0collinearity of feature points · 0.0collinearity analysis · 0.0
YearPublicationVenuePosition
1978 Edge Detection Using Walsh Functions
Frank O'Gorman
Artif. Intell.1
1976 Finding Picture Edges Through Collinearity of Feature Points
abstract
The recovery of straight picture edges from digitizations of scenes containing polyhedra ("line finding") is central to the functioning of scene analysis programs. While recognizing that recovery properly involves a computational mobilization of a great deal of knowledge-supported context, there remain some basic issues of representation which govern the way in which the primary data—grey levels—are addressed. The paper describes a parametric representation of straight picture edges and its procedural deployment in the recovery of edges from digitizations of scenes whose contents are essentially polyhedra with strong visible shadows.
Frank O'Gorman, M. B. Clowes
IEEE Trans. Computers1
1973 Finding Picture Edges through Collinearity of Feature Points
Frank O'Gorman, M. B. Clowes
IJCAI1