Method for linear solving of intrinsic parameters of camera by using circle divided into eight equal parts

Abstract

The invention relates to a method for camera calibration by using a circle divided into eight equal parts in a plane. According to the method for linear solving of intrinsic parameters of a camera by using a circle divided into eight equal parts, three images are shot in different directions by a target, image curves of the circles on the images, four images of diameter ends and coordinates of images of circle centers are extracted, coordinates of two vanishing points in the mutual orthogonal direction can be calculated according to the property that images of the circle centers and the images of points on the diameters and the images of the vanishing points relative to the circle in the diameter image direction are mutual harmonic conjugate points, a linear constraint equation about an absolute conic is built by using the two vanishing points in the mutual orthogonal direction on the three images and according to the property of a pair of harmonic conjugate points of the two vanishing points on vertical lines relative to the absolute conic, and then the linear solving of the five intrinsic parameters of the camera is achieved. Due to the fact that a curve of the second degree is a simple and an overall element, solving the vanishing line by fitting the curve of the second degree is higher in stability than solving the vanishing line by fitting a point and a plane. The method for the linear solving of the intrinsic parameters of the camera by using the circle divided into the eight equal parts is high in application value.

Description

technical field [0001] The invention belongs to the field of computer research and relates to an octagonal circle target used for solving internal parameters of a camera. Using any octagonal circle on the plane as a calibration template, the internal parameters of the camera are determined linearly by solving the coordinates of two pairs of vanishing points in the orthogonal direction on the three images. Background technique [0002] The research purpose of computer vision theory is to restore the geometric structure of the visible surface of a three-dimensional object from a two-dimensional image, a process called three-dimensional reconstruction. The relationship between the three-dimensional geometric position of a point on the surface of a space object and its corresponding point in the image is determined by the geometric model of the camera imaging. These geometric model parameters are the camera parameters, and the process of solving the camera parameters is called c...

AI Technical Summary

Problems solved by technology

The document "A flexible new technique for camera calibration", (Zhengyou Zhang, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, no.11, pp.1330-1334, 2000.) proposes a plane calibration method, which is between A method between the traditional calibration method and the self-calibration method, which avoids the disadvantages of high equipment requirements and cumbersome operation of the traditional method, but it needs to determine the physical coordinates of the dot matrix on the template and the matching of points between the image and the template. This is inconvenient for users who are not familiar with computer vision

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