A method for calibrating a parabolic reflex camera using a straight line and a circular polar line

Abstract

The invention relates to a method for calibrating a parabolic reflex camera using a straight line and a circular polar line. Firstly, the edge points of the target image are extracted from three images respectively, and the line image equation is obtained by least square fitting. On the basis of obtaining the equation of line image, the asymptotic line of line image is solved. Because the asymptotic line of the line image is the polar line of the circular point image with respect to the line image, according to the polar matching principle, the polar line of the circular point image with respect to the line image intersects with the image of the center of the circle, so as to determine the image of the center of the circle. The orthogonal vanishing points can be obtained from the image ofthe center of the circle. Three images provide six sets of orthogonal vanishing points. Finally, the camera intrinsic parameters are obtained by using the constraint of the orthogonal vanishing pointto the absolute conic image. Specific steps include: fitting the target projection equation, estimating the asymptote of the line image, determining the orthogonal vanishing point, and solving the internal parameters of the parabolic reflex camera.

Description

technical field [0001] The invention belongs to the field of computer vision, and relates to a method for solving internal parameters of a parabolic catadioptric camera by using the properties of a straight line in space and the polar line of a circle point. Background technique [0002] The central task of computer vision is to understand images, and its ultimate goal is to enable computers to have the ability to recognize three-dimensional environmental information through two-dimensional images. This ability will not only enable the machine to perceive the geometric information of objects in a three-dimensional environment including shape, posture, motion, etc., but also describe, store, recognize and understand them. Camera calibration is to determine the mapping relationship from a three-dimensional space point to its two-dimensional image point, which is an essential step in many computer vision applications. In order to determine this mapping process, it is necessary...

AI Technical Summary

Problems solved by technology

They proposed two linear calibration algorithms by studying the geometric and algebraic relationship between the image of a sphere or a straight line under the central catadioptric camera and MIAC, and the conclusions drawn are also valid for the dual form, but the theory and calibration methods in this document For parabolic catadioptric cameras the case is degenerate

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