A new calibration model of camera lens distortion
Pattern Recognition
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Robust metric calibration of non-linear camera lens distortion
Pattern Recognition
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Camera calibration from a single frame of planar pattern
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Self-calibration of a general radially symmetric distortion model
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Plane-Based calibration and auto-calibration of a fish-eye camera
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On the global self-calibration of central cameras using two infinitesimal rotations
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
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We propose a method of simultaneously calibrating the radial distortion function of a camera alongwith the other internal calibration parameters. The method relies on the use of a planar (or alternatively non-planar) calibration grid, which is captured in several images. In this way, the determination of the radial distortion is an easy add-on to the popular calibration method proposed by Zhang [17]. The method is entirely non-iterative, and hence is extremely rapid and immune from the problem of local minima. Our method determines the radial distortion in a parameter-free way, not relying on any particular radial distortion model. This makes it applicable to a large range of cameras from narrow-angle to fish-eye lenses. The method also computes the centre of radial distortion, which we argue is important in obtaining optimal results. Experiments show that this point may be significantly displaced from the centre of the image, or the principal point of the camera.