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Osamu Ozeki

dblp:70/9384 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none

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

Artificial intelligence and machine learning · 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%

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

TopicWeightPapersLastEvidence papers
Computer vision › 3D vision
3d object recognition
0.011986
Real-Time Range Measurement Device for Three-Dimensional Object Recognition · IEEE Trans. Pattern Anal. Mach. Intell. 1986
Computer vision › 3D vision
range sensing
0.011986
Real-Time Range Measurement Device for Three-Dimensional Object Recognition · IEEE Trans. Pattern Anal. Mach. Intell. 1986
Computer vision › 3D vision › depth estimation
range estimation
0.011986
Real-Time Range Measurement Device for Three-Dimensional Object Recognition · IEEE Trans. Pattern Anal. Mach. Intell. 1986

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

triangulation · 0.0range gating · 0.0
YearPublicationVenuePosition
1986 Real-Time Range Measurement Device for Three-Dimensional Object Recognition
abstract
This correspondence describes a real-time range measurement device for detecting the range, shape, and position of a three-dimensional object by a light stripe projection method. The device consists of a light stripe projection unit, a light stripe scanning control unit, a TV camera, a signal processing unit, and a microcomputer. While a laser light stripe is projected and scanned on an object at a high speed, range measurements and their calculations are done with special hardware. Range data are obtained by triangulation. This device can detect the range and shape of the object placed in a 60 cm square area at a distance of 100 cm in 490 ms by 48 × 50 points. The measurement accuracy of the device is ±2.0 cm. A sorting system for machine parts using this device has also been developed. By use of a unique range gating method, the system can discriminate three types of machine parts on a conveyor belt in 4.0 s.
Osamu Ozeki, Tomoaki Nakano, Shin Yamamoto
IEEE Trans. Pattern Anal. Mach. Intell.1