DocumentCode
1875538
Title
Measuring accurately-does your calibration technique get the job done?
Author
Wagner, Gary
Author_Institution
Automatix Inc., Billerica, MA, USA
fYear
1993
fDate
12-14 Oct 1993
Firstpage
32
Lastpage
37
Abstract
When measuring it is important to understand all of the factors which affect accuracy. Using a vision system to measure is no different. Proper selection of the system components is not enough. It is true that most vision systems have the internal capability to extract measurements using sub-pixel techniques, but it is important not to think your system is actually that accurate if you fail to compensate for system induced distortions. The author considers simple calibration, X and Y scaling, perspective and distortion, robust calibration, multiple camera set-ups, multiple camera calibration, and three-dimensional calibration
Keywords
calibration; computer vision; error compensation; image sensors; measurement errors; optical noise; X scaling; Y scaling; accurate measurement; calibration technique; multiple camera calibration; perspective; robust calibration; simple calibration; sub-pixel techniques; system induced distortions compensation; three-dimensional calibration; vision system; Calibration; Cameras; Coordinate measuring machines; Image sensors; Lenses; Machine vision; Optical devices; Optical distortion; Optical sensors; Spatial resolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Northcon/93. Conference Record
Conference_Location
Portland, OR
Print_ISBN
0-7803-9972-2
Type
conf
DOI
10.1109/NORTHC.1993.505028
Filename
505028
Link To Document