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Michael L. Baird

dblp:45/2317 · DBLP profile ↗
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5ranked-venue papers
5as first author
0since 2021 · last 1985
—ORCID · none

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

Artificial intelligence and machine learning · 4 · 4 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorSystems, architecture and hardware · 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
Image recognition and object detection · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Electronic design automation · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Image recognition and object detection
object recognition
0.011983
GAGESIGHT: A Computer Vision System for Automatic Inspection of Instrument Gauges · IEEE Trans. Pattern Anal. Mach. Intell. 1983
Image and video processing
image segmentation
0.011977
Image Segmentation Technique for Locating Automotive Parts on Belt Conveyors · IJCAI 1977
Electronic design automation › hardware test
defect detection
0.011985
EYESEE: A machine vision system for inspection of integrated circuit chips · ICRA 1985
Electronic design automation
hardware verification and test
0.011985
EYESEE: A machine vision system for inspection of integrated circuit chips · ICRA 1985

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

teach program · 0.0machine vision · 0.0line width measurement · 0.0interactive display console · 0.0
YearPublicationVenuePosition
1985 EYESEE: A machine vision system for inspection of integrated circuit chips
abstract
A mechine vision system for inspecting either "in-process" or completed (fully patterned) integrated circuit (IC) chips has been demonstrated. Applied to the inspection of a Darlington IC, the EYESEE system was shown to effectively replace a human operator in performing a final inspection task. EYESEE has been extended to inspection of certain Large Scale Integration (LSI) and Very Large Scale Integration (VLSI) devices for characterization measurement of line widths and critical dimensions, for measurement of mask and reticle overlay registration accuracy, and for detection and identification of macro end micro defects. Technical feasibility has been established for automating many semiconductor inspection tasks. A comprehensive review of other relevant machine vision techniques used within the semiconductor manufacturing industry is presented.
Michael L. Baird
ICRA1
1983 GAGESIGHT: A Computer Vision System for Automatic Inspection of Instrument Gauges
abstract
GAGESIGHT is a computer vision system recently integrated into production which demonstrates new flexibility in production automation technology. The vision algorithm accommodates significant misregistration in the position and orientation of objects, and adjusts process control parameters accordingly. The GAGESIGHT system is easily reconfigured for inspecting new types of objects by executing a teach program, and responding to a few instructions at an interactive display console. GAGESIGHT, intially intended for the automatic inspection and assembly of pointers and other components to instrument gauges, is finding new applications as well since the approach employed makes few assumptions regarding the objects being viewed.
Michael L. Baird
IEEE Trans. Pattern Anal. Mach. Intell.1
1977 Image Segmentation Technique for Locating Automotive Parts on Belt Conveyors
Michael L. Baird
IJCAI1
1974 Recognizing Objects by Rules of Inference on Sequentially Thresholded Gray-Level Pictures
Michael L. Baird, Michael D. Kelly
Comput. Graph. Image Process.1
1974 A paradigm for semantic picture recognition
Michael L. Baird, Michael D. Kelly
Pattern Recognit.1