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David A. Butler

dblp:139/7216 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1991
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 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 · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
camera calibration
0.011991
A distortion-correction scheme for industrial machine-vision applications · IEEE Trans. Robotics Autom. 1991
Computer vision › 3D vision › camera calibration
lens distortion correction
0.011991
A distortion-correction scheme for industrial machine-vision applications · IEEE Trans. Robotics Autom. 1991
Image and video processing
industrial inspection
0.011991
A distortion-correction scheme for industrial machine-vision applications · IEEE Trans. Robotics Autom. 1991

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

locally affine correction · 0.0control point calibration · 0.0
YearPublicationVenuePosition
1991 A distortion-correction scheme for industrial machine-vision applications
abstract
Practical ways to measure and correct distortion in industrial vision systems are discussed with an emphasis on ease of use. Tests were conducted that showed that significant amounts of spatial distortion can exist in commercially available camera/lens/frame-grabber combinations. Even solid-state cameras are not immune to this phenomenon. Substantial reductions in distortion can result from a locally affine correction scheme such as the one tested. Large numbers of control points do not seem to be necessary, although increasing the number of control points does result in increased accuracy up to a point. The correction scheme developed can be extended to calibration targets for which the control points are regularly spaced.>
David A. Butler, Patricia K. Pierson
IEEE Trans. Robotics Autom.1