A modified technique for 3D camera calibration

Badalkhani, Sajad; Badamchizadeh, Mohammad Ali

doi:10.1109/isie.2014.6864908

Cited by 2 publications

(2 citation statements)

References 15 publications

(10 reference statements)

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“…[30][31][32] In order to improve the accuracy of the camera calibration and system algorithm efficiency, third-order radial distortion model and second-order tangential distortion model are adopted in this article. Third-order radial distortion model and second-order tangential distortion model are shown in equations ( 7) and (8). Assume that two axes of image coordinate system are completely vertical, then final nonlinear distortion model is shown equation ( 9)…”

Section: High-precision Calibration Of Visual Systemmentioning

confidence: 99%

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Flexible method for accurate calibration of large-scale vision metrology system based on virtual 3-D targets and laser tracker

Zhang

et al. 2019

International Journal of Advanced Robotic Systems

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For the purpose of obtaining high-precision in stereo vision calibration, a large-size precise calibration target, which can cover more than half of the field of view is vital. However, large-scale calibration targets are very difficult to fabricate. Based on the idea of error tracing, a high-precision calibration method for vision system with large field of view by constructing a virtual 3-D calibration target with a laser tracker was proposed in this article. A virtual 3-D calibration target that covers the whole measurement space can be established flexibly and the measurement precision of the vision system can be traceable to the laser tracker. First, virtual 3-D targets by calculating rigid body transformation with unit quaternion method were constructed. Then, the high-order distortion camera model was taken into consideration. Besides, the calibration parameters were solved with Levenberg–Marquardt optimization algorithm. In the experiment, a binocular stereo vision system with the field of view of 4 × 3 × 2 m3 was built for verifying the validity and precision of the proposed calibration method. It is measured that the accuracy with the proposed method can be greatly improved comparing with traditional plane calibration method. The method can be widely used in industrial applications, such as in the field of calibrating large-scale vision-based coordinate metrology, and six-degrees of freedom pose tracking system for dimensional measurement of workpiece, as well as robotics geometrical accuracy detection and compensation.

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Section: High-precision Calibration Of Visual Systemmentioning

confidence: 99%

“…The traditional camera calibration is performed by taking images of a 3-D calibration target with known and accurate geometry. 8,9 The calibration can be done with very high accuracy. However, it is very difficult and expensive to fabricate large-scale 3-D calibration targets.…”

Section: Introductionmentioning

confidence: 99%