Method for solving camera inner parameters by utilizing bimirror device and circular point characteristics

Abstract

The invention relates to a method for solving camera inner parameters by utilizing a bimirror device and circular point characteristics. The bimirror device is specifically composed of two rectangular plane mirrors, the two plane mirrors are perpendicular to a plane formed by bottom edges of the two plane mirrors, and the bimirror device is used for a camera self-calibration device. The method includes the steps of shooting three images including an image of an object and four images formed in the plane mirrors of the object, extracting characteristic points from the images, arranging one set of corresponding characteristic points on one circle, enabling points at infinity in the direction of the two real plane mirrors to be on the same straight line, calling the straight line as an infinity straight line, calling images of the infinity straight line as a vanishing line, regarding the intersection point of the projection of the circle and the vanishing line as the image of a circular point, setting six sets of constraint equations of the image of the circular point on an absolute conic image by utilizing the three images, and solving the camera inner parameters in a linear mode.

Description

technical field [0001] The invention belongs to the field of computer vision research, and relates to a new method for solving the internal parameters of a camera, which utilizes the particularity of imaging formed by two plane mirrors forming a certain angle, and solves the coordinates of the circular point images on the three images , linearly determine the internal parameters of the camera. Background technique [0002] One of the basic tasks of computer vision is to restore the geometric information of objects in three-dimensional space from the two-dimensional image information obtained by the camera, so as to recognize and reconstruct the geometric shape of objects in three-dimensional space. In this process, the relationship between the three-dimensional geometric position of the spatial object point and its corresponding point in the image must be determined, and this relationship is determined by the geometric model of the camera imaging, and the parameters of these...

AI Technical Summary

Problems solved by technology

[0003] Although the traditional camera calibration method can obtain high precision, it is difficult to make the calibration block and it is not easy to operate. To solve this problem, 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.) proposed a method to replace the traditional calibration block with a flat template. The physical co

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