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Optics Express

Optics Express

  • Editor: C. Martijn de Sterke
  • Vol. 18, Iss. 3 — Feb. 1, 2010
  • pp: 1927–1936

Data filtering with support vector machines in geometric camera calibration

B. Ergun, T. Kavzoglu, I Colkesen, and C. Sahin  »View Author Affiliations


Optics Express, Vol. 18, Issue 3, pp. 1927-1936 (2010)
http://dx.doi.org/10.1364/OE.18.001927


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Abstract

The use of non-metric digital cameras in close-range photogrammetric applications and machine vision has become a popular research agenda. Being an essential component of photogrammetric evaluation, camera calibration is a crucial stage for non-metric cameras. Therefore, accurate camera calibration and orientation procedures have become prerequisites for the extraction of precise and reliable 3D metric information from images. The lack of accurate inner orientation parameters can lead to unreliable results in the photogrammetric process. A camera can be well defined with its principal distance, principal point offset and lens distortion parameters. Different camera models have been formulated and used in close-range photogrammetry, but generally sensor orientation and calibration is performed with a perspective geometrical model by means of the bundle adjustment. In this study, support vector machines (SVMs) using radial basis function kernel is employed to model the distortions measured for Olympus Aspherical Zoom lens Olympus E10 camera system that are later used in the geometric calibration process. It is intended to introduce an alternative approach for the on-the-job photogrammetric calibration stage. Experimental results for DSLR camera with three focal length settings (9, 18 and 36mm) were estimated using bundle adjustment with additional parameters, and analyses were conducted based on object point discrepancies and standard errors. Results show the robustness of the SVMs approach on the correction of image coordinates by modelling total distortions on-the-job calibration process using limited number of images.

© 2010 OSA

OCIS Codes
(120.3940) Instrumentation, measurement, and metrology : Metrology
(150.1488) Machine vision : Calibration

ToC Category:
Instrumentation, Measurement, and Metrology

History
Original Manuscript: December 2, 2009
Revised Manuscript: January 5, 2010
Manuscript Accepted: January 8, 2010
Published: January 15, 2010

Citation
B. Ergun, T. Kavzoglu, I Colkesen, and C. Sahin, "Data filtering with support vector machines in geometric camera calibration," Opt. Express 18, 1927-1936 (2010)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-18-3-1927


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