Method for correcting circle center error of circular index point when translating camera perspective projection

Abstract

The invention relates to a correction method for circle center deviation of a circular mark point when a video camera carries out perspective projection transformation, which is characterized in that the method for setting the circular mark point comprises a step of arranging concentric circles consisting of a large circle and a small circle; the method for acquiring the data of the circular mark point in the image comprises steps of acquiring the image, applying filtration, threshold segmentation, edge detection, contour extraction and least square method ellipse fitting to the image to derive a link of the circle centers of ellipses in the image corresponding to the large circle and the small circle of the concentric circles; the link is intersected with the edges of the ellipses to which the large circle and the small circle of the concentric circles correspond in the image to generate four intersection points; the invariance of cross ratio in projective transformation is hired to derive the real positions of the projection points of the circle centers of the large circle and the small circle of the concentric circles in the image.

Description

technical field [0001] The invention relates to the field of computer vision detection, in particular to a method for correcting the deviation of the circle center of a circular mark point when the perspective projection transformation of a camera is performed. Background technique [0002] One of the basic tasks of computer vision is to calculate the three-dimensional information of the object in the field of view from the image captured by the camera, so as to reconstruct and recognize the three-dimensional object. The relationship between the three-dimensional geometric information of the object surface point and its corresponding point on the image is determined by the imaging model of the camera. The process of establishing this geometric model is actually the solution process of the camera parameters. Therefore, the calibration of camera parameters is the premise and key of this modeling process. The process of solving the camera parameters is called camera calibratio...

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Problems solved by technology

In the document "A Four stepCamera Calibration Procedure with Implicit Image Correction". (Janne Heikkila, Olli Silven, IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition, 1997: 1106~1112). It is pointed out that the circle will be The center of the ellipse in the image is not the real position of the projected point of the center of the circle in the image, that is, there is a deviation in the center of the two, so when using the circ

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