A method for calibrating the reflex camera by using the properties of a single sphere and the midpoint of the chord

A catadioptric and camera technology, applied in the field of computer vision, can solve the problem of complex circle point selection

Inactive Publication Date: 2019-01-15
YUNNAN UNIV
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Problems solved by technology

However, the selection of the image of the ring point in this document is more complicated

Method used

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  • A method for calibrating the reflex camera by using the properties of a single sphere and the midpoint of the chord
  • A method for calibrating the reflex camera by using the properties of a single sphere and the midpoint of the chord
  • A method for calibrating the reflex camera by using the properties of a single sphere and the midpoint of the chord

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Embodiment

[0070] The invention proposes a method for linearly determining internal parameters of a parabolic catadioptric camera by using a sphere in space as a target. The experimental template structural schematic diagram that the present invention adopts is as figure 1 shown. The implementation of the present invention will be described in more detail with an example below.

[0071] The experimental template used in the calibration of parabolic catadioptric cameras based on spheres in space is a sphere in space, such as figure 1 As shown, the ball is Q. Utilize the method among the present invention to carry out calibration for the parabolic catadioptric camera that is used for experiment, concrete steps are as follows:

[0072] 1. Fit image boundary and target curve equation

[0073] The image size used in the present invention is 1063×1033. Take three experimental images of the target with a parabolic catadioptric camera, read the images, use the Edge function in Matlab to ext...

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Abstract

The invention relates to a method for calibrating a catadioptric camera of a primer by using properties of a single ball and a midpoint of a chord. Firstly, the edge points of the specular contour projection and the target image are extracted from the image, and the specular contour projection and the spherical image projection are obtained by least square fitting. Secondly, according to the relationship between the image point and its extension point, the extension point is obtained, and then the extension spherical image of the spherical image is fitted. Two different points are taken from the spherical image, and the two points' topological points are obtained. From the definition of topological points and the properties of circles, the two sets of pairs of topological points can determine the midpoint of the upper chord of the sphere image. The image of the center of a circle is determined according to the properties of the two points on the spherical image with respect to the polar line of the spherical image and the midpoint of the chord. The polar line of the center of a circle with respect to the spherical image is the shadow cancellation line, and the intersection point ofthe shadow cancellation line and the spherical image is the image of a circular ring point. Three images provide three sets of images of circular ring points. Finally, the camera intrinsic parametersare obtained by using the constraint of the image of the torus point to the image of the absolute conic curve.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a method for solving the internal parameters of a parabolic catadioptric camera by using the properties of a midpoint between a ball and a chord in space. 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 to establis...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/80
CPCG06T7/80
Inventor 杨丰澧汪雪纯赵越
Owner YUNNAN UNIV
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