Title
Single View Metrology: A Practical Example
Abstract
In machine vision applications it is often desirable to make metric measurements with a single camera. However, operational constraints can limit the use of off-line calibration methods and the lack of reference planes can prevent the use of current single-view metrology techniques. In this paper, we describe the design, implementation, and validation of a visual inspection system for the measurement of angles from a single, uncalibrated camera. We provide a step-by-step, single-view metrology approach which we demonstrate in an operational setting. We first assess the imaging conditions present using hypothesis testing based on a norm-induced metric between possible world to image mappings. Our metric provides a measure of localization error derived from physical measures in the world. The hypothesis testing demonstrates that affine viewing conditions are present in our setting and we show how the affine approximation can be used to make measurements of points off the plane of interest. We employ our algorithm in a manufacturing plant to make blade angle measurements of variable stator vanes in jet engines.
Year
DOI
Venue
2008
10.1109/WACV.2008.4544020
Copper Mountain, CO
Keywords
Field
DocType
angular measurement,automatic optical inspection,blades,calibration,computer vision,jet engines,production engineering computing,statistical testing,stators,blade angle measurements,hypothesis testing,image mappings,jet engines,machine vision applications,manufacturing plant,norm-induced metric,offline calibration methods,operational constraints,reference planes,single camera,single view metrology techniques,variable stator vanes,visual inspection system
Affine transformation,Computer vision,Visual inspection,Machine vision,Computer science,Metrology,Artificial intelligence,Stator,Statistical hypothesis testing,Calibration,Jet engine
Conference
ISSN
ISBN
Citations 
1550-5790 E-ISBN : 978-1-4244-1914-2
978-1-4244-1914-2
0
PageRank 
References 
Authors
0.34
9
2
Name
Order
Citations
PageRank
Paulo R. S. Mendonça161050.38
Robert Kaucic200.34