Method for solving intrinsic parameters of camera by circular motion in double-plane-mirror device

Abstract

The invention relates to a method for solving intrinsic parameters of a camera by circular motion in a double-plane-mirror device. The device is composed of two plane mirrors and a pinhole camera, and space points and reflection image points thereof in the plane mirrors are located on a same space circle. The method includes: shooting an object and three images of four reflection images of the object in the plane mirrors, extracting features points from the images, and fitting a curvilinear equation; acquiring an image of the circle center by the aid of symmetrical property of reflection point groups relative to the plane mirrors and tangential property of a curve at the feature points, and then utilizing relation among poles and polar lines to obtain a vanishing line on an image plane, namely an image of a line at infinity; acquiring an interaction of the vanishing line and the curve, namely an image of a circular point, creating six constraint equations of the image of the circular point relative to an absolute conic image, and linearly solving intrinsic parameters of the camera.

Description

technical field [0001] The invention belongs to the field of computer vision research and relates to a new method for solving internal parameters of a plane catadioptric camera. Take three images including the object and its four reflection images in the plane mirror, and use the symmetry of the reflection point group about the plane mirror and the tangent property of the curve at the feature point to linearly solve the internal parameters of the camera. Background technique [0002] In the field of computer vision, camera calibration refers to the process of obtaining camera parameters based on a given camera model. Starting from the two-dimensional image information obtained by the camera, the geometric information of the object in the three-dimensional space is restored, and the geometric shape of the object in the three-dimensional space is reconstructed according to the relationship between the three-dimensional geometric position of the spatial object and its correspon...

AI Technical Summary

Problems solved by technology

This method is low in cost, but requires precise positioning of the physical coordinates of the contour, and the operation process is complicated

The literature "Contour-based Structure from Reflection" (P.H. Huang and S.H. Lai, Proc. IEEE Int'l Conf. Computer Vision and Pattern Recognition, 2006, pp.379-386) utilizes a full perspective camera model, which requires First estimate the size of the focal length, making the result inaccurate

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