Modeling errors for dimensional inspection using active vision

Christopher C. Yang; Michael M. Marefat; Frank W. Ciarallo

doi:10.1016/S0736-5845(98)00025-8

Modeling errors for dimensional inspection using active vision

Christopher C. Yang, Michael M. Marefat, Frank W. Ciarallo

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

In active vision inspection, errors in dimensional measurements are often due to displacement of the sensor and image digitization effects. Using a model of error in linear measurements based on a normally distributed sensor displacement, uniform image digitization and geometric approximation, the accuracy of measurements from a particular sensor setting can be assessed. In comparison with experimental measurements, this error model demonstrates a high predictive ability. Related experiments demonstrate a procedure for assessing the accuracy of sensor settings providing insight into what sensor settings lead to lower measurement variances and thus higher measurement reliability.

Original language	English (US)
Pages (from-to)	23-37
Number of pages	15
Journal	Robotics and Computer-Integrated Manufacturing
Volume	15
Issue number	1
DOIs	https://doi.org/10.1016/S0736-5845(98)00025-8
State	Published - 1999

Keywords

3D vision
Active vision
Computer integrated inspection
Dimensional inspection
Displacement error
Error analysis
Image understanding
Quantization error
Scene analysis

ASJC Scopus subject areas

Control and Systems Engineering
Software
General Mathematics
Computer Science Applications
Industrial and Manufacturing Engineering

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10.1016/S0736-5845(98)00025-8

Cite this

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title = "Modeling errors for dimensional inspection using active vision",

abstract = "In active vision inspection, errors in dimensional measurements are often due to displacement of the sensor and image digitization effects. Using a model of error in linear measurements based on a normally distributed sensor displacement, uniform image digitization and geometric approximation, the accuracy of measurements from a particular sensor setting can be assessed. In comparison with experimental measurements, this error model demonstrates a high predictive ability. Related experiments demonstrate a procedure for assessing the accuracy of sensor settings providing insight into what sensor settings lead to lower measurement variances and thus higher measurement reliability.",

keywords = "3D vision, Active vision, Computer integrated inspection, Dimensional inspection, Displacement error, Error analysis, Image understanding, Quantization error, Scene analysis",

author = "Yang, {Christopher C.} and Marefat, {Michael M.} and Ciarallo, {Frank W.}",

year = "1999",

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AU - Yang, Christopher C.

AU - Marefat, Michael M.

AU - Ciarallo, Frank W.

PY - 1999

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AB - In active vision inspection, errors in dimensional measurements are often due to displacement of the sensor and image digitization effects. Using a model of error in linear measurements based on a normally distributed sensor displacement, uniform image digitization and geometric approximation, the accuracy of measurements from a particular sensor setting can be assessed. In comparison with experimental measurements, this error model demonstrates a high predictive ability. Related experiments demonstrate a procedure for assessing the accuracy of sensor settings providing insight into what sensor settings lead to lower measurement variances and thus higher measurement reliability.

KW - 3D vision

KW - Active vision

KW - Computer integrated inspection

KW - Dimensional inspection

KW - Displacement error

KW - Error analysis

KW - Image understanding

KW - Quantization error

KW - Scene analysis

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JO - Robotics and Computer-Integrated Manufacturing

JF - Robotics and Computer-Integrated Manufacturing

IS - 1

ER -

Modeling errors for dimensional inspection using active vision

Abstract

Keywords

ASJC Scopus subject areas

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