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Michihiro Sagara

dblp:19/2449 · DBLP profile ↗
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1ranked-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 · 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 · 50% Image and video processing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging
camera calibration
0.011992
Simple Calibration Algorithm for High-Distortion Lens Camera · IEEE Trans. Pattern Anal. Mach. Intell. 1992
Image and video processing › image preprocessing › image correction
lens distortion correction
0.011992
Simple Calibration Algorithm for High-Distortion Lens Camera · IEEE Trans. Pattern Anal. Mach. Intell. 1992

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

point symmetry · 0.02d model fitting · 0.0
YearPublicationVenuePosition
1992 Simple Calibration Algorithm for High-Distortion Lens Camera
abstract
A simple and useful calibration method for a TV camera with a high-distortion lens is presented. The parameters to be calibrated are effective focal length, one-pixel width on an image plane, image distortion center, and distortion coefficient. A simple-pattern calibration chart composed of parallel straight lines is introduced as a reference for calibration. An ordinary 2D model fitting is decomposed into two 1D model fittings on the column and row of a frame buffer across the image distortion center by ingeniously utilizing the point symmetry characteristic of image distortion. Some parameters with a calibration chart are eliminated by setting up a calibration chart precisely and by utilizing negligibly low distortion near the image distortion center. Thus, the number of unknown parameters to be calibrated is drastically decreased, enabling simple and useful calibration. The effectiveness of the proposed calibration method is confirmed by experimentation.>
Yoshihiko Nomura, Michihiro Sagara, Hiroshi Naruse, Atsushi Ide
IEEE Trans. Pattern Anal. Mach. Intell.2