SMITH, L. and SMITH, M.
(2005)
Automatic Machine Vision Calibration Using Statistical and Neural Network Methods.
To be published in Image and Vision Computing, 23.
pp. 887-899.
ISSN 0262-8856
Full text not available from this repository
| Item Type: | Article |
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| Additional Information: | This work resulted from a more in-depth analysis of an image distortion problem in connection with research into calibration of a vision based metrology system developed by the author for Quantronix. The work went well beyond previous techniques since it does not assume that lens distortion is axis-symmetrical. It is relevant to metrology applications, but can also be applied in any field involving image capture, with a wide angle lens. The paper was listed among the journal's 25 most read articles. The metrology system is now being marketed and installed worldwide. (C Skeen, Quantronix Incorporated, Farmington Utah.) |
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| Faculty/Department: | Faculty of Environment and Technology
~Pre-2012 Faculty Structure > Faculty of Environment and Technology
~Pre-2010 Faculty Structure > Environment and Technology > Bristol Institute of Technology |
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| ID Code: | 5967 |
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| Deposited By: |
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| Deposited On: | 22 Jan 2010 15:11 |
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| Last Modified: | 22 Nov 2012 15:35 |
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