Method for quickly correcting distortion of camera based on collinear feature point

Abstract

The invention relates to a camera deformation calibration method and quick calibration method based on predicted template. Based on the unchanged linear perspective projection to calculate the ideal image coordinate to the analog linear distance and the minimum target, predicting the lens deformation coefficient through nonlinear optimization function. Based on camera deformation coefficient, it predict the deformation coordinate of the ideal image coordinate and stores it into the template matrix, directly searching the template reading ideal image corresponding deforming coordinate, completing the quick calibration of deformed image through linear insert value to get the gray value of the ideal image pixel. The put forward deformation coefficient calibration method is low in cost, simple in algorithm, and easy realization.

Description

technical field [0001] The invention belongs to the technical field of measurement and relates to the improvement of a method for realizing camera distortion calibration and correction. Background technique [0002] In the fields of computer vision and image processing, due to the existence of optical lens distortion, the imaging model is inconsistent with the ideal pinhole model, and the captured image has geometric distortion. Especially when using wide-angle lenses, there will be greater distortion far from the center of the image. However, most algorithms in the field of computer vision are based on the ideal pinhole imaging model. Therefore, how to solve the distortion coefficient of the camera and correct the distortion of the image is an important topic in the field of computer vision. Theoretically, lens distortion will have radial distortion and tangential distortion at the same time, but generally speaking, tangential distortion is relatively small, and in most c...

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Problems solved by technology

FREDERIC D. et al. in the article "Straight lineshave to be straight-Automation calibration and removal of distortion from scenes of structure environments" (Straight lineshave to be straight-Automation calibration and removal of distortion from scenes of structure environments), international journal "Machine Vision and Application ", No. 13, pp. 14-24, 2001 (Machine Vision and Applications, No.13, pp.14-24, 2001), studied the calibration method of lens distortion parameters based on the invariance of linear perspective projection. The method requires the image to have rich straight edges, so the number and distribution of edge straight lines in the image directly affect the calibration of the distortion coefficients. Different distortion coefficients may be obtained for images captured by the same camera, which can only be applied to non-measurement distortions. In correction applications, in addition, the calculation amount of the algorithm is large, the implementation process is relatively complicated, and the real-time performance of distortion correction cannot be guaranteed

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