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Kenneth M. Dawson

dblp:47/874 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 1992
0000-0002-0568-6588ORCID · reported

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.

Artificial intelligence
1 paper
3D vision · 56% Image recognition and object detection · 44%

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

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
object recognition
0.011992
3-D Object Recognition using Passively Sensed Range Data · ECCV 1992
Computer vision › 3D vision › 3d object recognition
range image object recognition
0.011992
3-D Object Recognition using Passively Sensed Range Data · ECCV 1992
Computer vision › 3D vision
range sensing
0.011992
3-D Object Recognition using Passively Sensed Range Data · ECCV 1992

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

range data recognition · 0.0
YearPublicationVenuePosition
1992 3-D Object Recognition using Passively Sensed Range Data
Kenneth M. Dawson, David Vernon
ECCV1
1991 On the usefulness of optical flow for robotic part manipulation
abstract
This paper describes experience gained in using optical flow fields, arising from constrained camera motion, to estimate range information, for robotic part manipulation. Several key issues in robot vision are addressed. These include the computation of optical flow, computation of depth, interpolation of depth values, model construction, object recognition, and pose estimation. The paper provides an example of the approach and evaluates the system's performance in the context of its applicability to part manipulation.>
Kenneth M. Dawson, Massimo Tistarelli, David Vernon
IROS1