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Gordon J. Fletcher

dblp:92/6726 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 1997
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 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.

Artificial intelligence
2 papers
3D vision · 92% Robot navigation and mapping · 8%
Computer graphics and multimedia
2 papers
Geometric modeling and processing · 100%

Topics — the 8 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d reconstruction
0.011997
Following Cusps · Int. J. Comput. Vis. 1997
Geometric modeling and processing › surface reconstruction
shape reconstruction
0.011996
Class Based Reconstruction Techniques Using Singular Apparent Contours · ECCV (1) 1996
Computer vision › 3D vision
3d scene understanding
0.011995
Surface Geometry from Cusps of Apparent Contours · ICCV 1995
Computer vision › 3D vision
structure from motion
0.011995
Surface Geometry from Cusps of Apparent Contours · ICCV 1995
Computer vision › 3D vision › 3d shape reconstruction
surface recovery
0.011995
Surface Geometry from Cusps of Apparent Contours · ICCV 1995
Computer vision › 3D vision › 3d reconstruction
shape from silhouette
0.011996
Class Based Reconstruction Techniques Using Singular Apparent Contours · ECCV (1) 1996
Computer vision › 3D vision
camera pose estimation
0.011995
Surface Geometry from Cusps of Apparent Contours · ICCV 1995
Robotics › Robot navigation and mapping › state estimation
egomotion
0.011995
Surface Geometry from Cusps of Apparent Contours · ICCV 1995

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

singular apparent contours · 0.0epipolar parametrization · 0.0cusp following · 0.0
YearPublicationVenuePosition
1997 Following Cusps
Roberto Cipolla, Gordon J. Fletcher, Peter J. Giblin
Int. J. Comput. Vis.2
1996 Class Based Reconstruction Techniques Using Singular Apparent Contours
Gordon J. Fletcher, Peter J. Giblin
ECCV (1)1
1995 Surface Geometry from Cusps of Apparent Contours
abstract
It is known that the deformations of the apparent contours of a surface under perspective projection and viewer motion enable the recovery of the geometry of the surface, for example by utilising the epipolar parametrization. These methods break down with apparent contours that are singular i.e. with cusps. In this paper, we study this situation in detail and show how, nevertheless, the surface geometry (including the Gauss curvature and mean curvature of the surface) can be recovered by following the cusps. Indeed the formulae are much simpler in this case, and require lower spatio-temporal derivatives than in the general case of nonsingular apparent contours. We give a simulated example, and also show that following cusps does not by itself provide us with information on ego-motion.>
Roberto Cipolla, Gordon J. Fletcher, Peter J. Giblin
ICCV2