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Paul M. Payton

dblp:40/6991 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Artificial intelligence and machine learning · 2Graphics, 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
Computational photography and imaging · 87% Geometric modeling and processing · 13%
Artificial intelligence
1 paper
3D vision · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
model matching
0.011992
Some invariant linear methods in photogrammetry and model-matching · CVPR 1992
Computational photography and imaging
camera geometry
0.011992
Some invariant linear methods in photogrammetry and model-matching · CVPR 1992
Computational photography and imaging › camera geometry
projective invariants
0.011992
Some invariant linear methods in photogrammetry and model-matching · CVPR 1992
Geometric modeling and processing › 3d reconstruction
photogrammetry
0.011992
Some invariant linear methods in photogrammetry and model-matching · CVPR 1992

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

projective invariants · 0.0linear equation system · 0.0
YearPublicationVenuePosition
1992 Some invariant linear methods in photogrammetry and model-matching
abstract
For several useful tasks in photogrammetry and in model-based vision, noniterative methods that require only the inversion of systems of linear equations are developed. The methods are based on the theory of projective invariants. The tasks addressed are resection, intersection, and transfer, or model matching (with or without ground control points). The following kinds of transfer are examined: (a) coplanar object points (transfer to image 2 done using four reference points in image 1); (b) stereo camera system (transfer to stereo camera pair 2 done using four reference points in stereo pair 1); (c) general multicamera configuration (transfer of a ninth point to image 3 done using eight tie points in images 1 and 2).>
Eamon B. Barrett, Michael H. Brill, Nils N. Haag, Paul M. Payton
CVPR4
1991 General methods for determining projective invariants in imagery
Eamon B. Barrett, Paul M. Payton, Nils N. Haag, Michael H. Brill
CVGIP Image Underst.2