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Binocular vision system calibration based on a one-dimensional target |
Applied Optics, Vol. 51, Issue 16, pp. 3338-3345 (2012)
http://dx.doi.org/10.1364/AO.51.003338
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Abstract
This paper proposes an adjustment method for binocular vision measurement to calibrate a camera’s internal and external parameters based on a one dimensional (1D) target in the field of view. A 1D target with two feature points lying randomly in the field of view is used to get the images of the feature points. The distance between the two feature points is known. The internal and external parameters can be acquired by solving equations combining the photograph measurement collinear equations and the feature points’ distance equations. To solve these equations, we use linearization of nonlinear equations and the adjustment method. During the process, we deal with the equations as measurement equations and the internal/external parameters and the 3D target points as the unknown parameters to calculate them. According to field experiment results, in about a
© 2012 Optical Society of America
OCIS Codes
(100.3010) Image processing : Image reconstruction techniques
(150.1135) Machine vision : Algorithms
(150.1488) Machine vision : Calibration
ToC Category:
Machine Vision
History
Original Manuscript: October 17, 2011
Revised Manuscript: December 24, 2011
Manuscript Accepted: February 3, 2012
Published: May 25, 2012
Citation
Yu Zhao, Xiaofeng Li, and Weimin Li, "Binocular vision system calibration based on a one-dimensional target," Appl. Opt. 51, 3338-3345 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-16-3338
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