dc.contributor.author |
De Villiers, Johan P
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dc.contributor.author |
Leuschner, FW
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dc.contributor.author |
Geldenhuys, R
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dc.date.accessioned |
2009-03-09T08:51:37Z |
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dc.date.available |
2009-03-09T08:51:37Z |
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dc.date.issued |
2008-11 |
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dc.identifier.citation |
De Villiers, JP, Leuschner, FW and Geldenhuys, R. 2008. Centi-pixel accurate real-time inverse distortion correction. Optomechatronic Technologies, Vol. 7266, pp 726611-8 |
en |
dc.identifier.isbn |
0277-786X |
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dc.identifier.uri |
http://hdl.handle.net/10204/3168
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|
dc.description |
Copyright: Proceedings of SPIE |
en |
dc.description.abstract |
Inverse distortion is used to create an undistorted image from a distorted image. For each pixel in the undistorted image it is required to determine which pixel in the distorted image should be used. However the process of characterizing a lens using a model such as that of Brown, yields a non-invertible mapping from the distorted domain to the undistorted domain. There are three current approaches to solving this: an approximation of the inverse distortion is derived from a low-order version of Brown’s model; an initial guess for the distorted position is iteratively refined until it yields the desired undistorted pixel position; or a look-up table is generated to store the mapping. Each approach requires one to sacrifice either accuracy, memory usage or processing time. This paper shows that it is possible to have real-time, low memory, accurate inverse distortion correction. A novel method based on the re-use of left-over distortion characterization data is combined with modern numerical optimization techniques to fit a high-order version of Brown’s model to characterize the inverse distortion. Experimental results show that, for thirty-two 5mm lenses exhibiting extreme barrel distortion, inverse distortion can be improved 25 fold to 0.013 pixels RMS over the image |
en |
dc.language.iso |
en |
en |
dc.publisher |
SPIE |
en |
dc.subject |
Inverse distortion |
en |
dc.subject |
Numerical optimization |
en |
dc.subject |
Distortion characterization |
en |
dc.title |
Centi-pixel accurate real-time inverse distortion correction |
en |
dc.type |
Conference Presentation |
en |
dc.identifier.apacitation |
De Villiers, J. P., Leuschner, F., & Geldenhuys, R. (2008). Centi-pixel accurate real-time inverse distortion correction. SPIE. http://hdl.handle.net/10204/3168 |
en_ZA |
dc.identifier.chicagocitation |
De Villiers, Johan P, FW Leuschner, and R Geldenhuys. "Centi-pixel accurate real-time inverse distortion correction." (2008): http://hdl.handle.net/10204/3168 |
en_ZA |
dc.identifier.vancouvercitation |
De Villiers JP, Leuschner F, Geldenhuys R, Centi-pixel accurate real-time inverse distortion correction; SPIE; 2008. http://hdl.handle.net/10204/3168 . |
en_ZA |
dc.identifier.ris |
TY - Conference Presentation
AU - De Villiers, Johan P
AU - Leuschner, FW
AU - Geldenhuys, R
AB - Inverse distortion is used to create an undistorted image from a distorted image. For each pixel in the undistorted image it is required to determine which pixel in the distorted image should be used. However the process of characterizing a lens using a model such as that of Brown, yields a non-invertible mapping from the distorted domain to the undistorted domain. There are three current approaches to solving this: an approximation of the inverse distortion is derived from a low-order version of Brown’s model; an initial guess for the distorted position is iteratively refined until it yields the desired undistorted pixel position; or a look-up table is generated to store the mapping. Each approach requires one to sacrifice either accuracy, memory usage or processing time. This paper shows that it is possible to have real-time, low memory, accurate inverse distortion correction. A novel method based on the re-use of left-over distortion characterization data is combined with modern numerical optimization techniques to fit a high-order version of Brown’s model to characterize the inverse distortion. Experimental results show that, for thirty-two 5mm lenses exhibiting extreme barrel distortion, inverse distortion can be improved 25 fold to 0.013 pixels RMS over the image
DA - 2008-11
DB - ResearchSpace
DP - CSIR
KW - Inverse distortion
KW - Numerical optimization
KW - Distortion characterization
LK - https://researchspace.csir.co.za
PY - 2008
SM - 0277-786X
T1 - Centi-pixel accurate real-time inverse distortion correction
TI - Centi-pixel accurate real-time inverse distortion correction
UR - http://hdl.handle.net/10204/3168
ER -
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en_ZA |