Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Camera self-calibration method based on three orthogonal direction end points

An orthogonal direction, camera technology, applied in the field of computer vision research, can solve the problem that square pixels are difficult to guarantee, and achieve the effect that is easy to achieve

Inactive Publication Date: 2013-04-03
YUNNAN UNIV
View PDF2 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is often difficult to guarantee that the CCD is a square pixel

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Camera self-calibration method based on three orthogonal direction end points
  • Camera self-calibration method based on three orthogonal direction end points
  • Camera self-calibration method based on three orthogonal direction end points

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0043] The present invention proposes a camera self-calibration method based on the disappearance of three orthogonal directions, using the vanishing points of three mutually orthogonal straight lines in the scene to form constraints on the absolute quadratic curve image, and finally realizing the camera self-calibration by solving the constraint equation calibration.

[0044] Embodiment of the present invention is described in more detail with an example below:

[0045] (1) Solve the coordinates of the vanishing point in three orthogonal directions

[0046] Such as figure 1 It is a cube with three side lengths (Xaxis, Yaxis, Zaxis) of 4000 pixels in three-dimensional space. Assume that a certain vertex of the cube is the origin of the world coordinate system, and three sides that are orthogonal to each other are the coordinate axes of the world coordinate system. figure 2 , image 3 for figure 1 Images of the neutral cube at two different viewing angles. figure 2 Reco...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a camera self-calibration method based on three orthogonal direction end points. Contact among the three orthogonal direction end points, a camera matrix and an inner parameter matrix is deduced based on the three orthogonal direction end points. Aiming at five parameter camera models, the camera self-calibration method based on the three orthogonal direction end points is provided. The method comprises the following steps of solving coordinates of the three orthogonal direction end points; solving proportional factors according to the contact of the end points and the camera matrix, building a restriction equation of the inner parameters of the camera, and linearly solving five inner parameters of the camera. The whole solution of the inner parameters of the camera can be realized by only needing two views; and by the calibration method, the automatic calibration can be realized, and faults caused by measurement during calibration are reduced.

Description

technical field [0001] The invention belongs to the field of computer vision research, and is a self-calibration method for camera internal parameters based on the disappearance of three orthogonal directions. The vanishing points in the directions of three mutually orthogonal straight lines in the scene are used to form constraints on the absolute quadratic curve image. Solving the constraint equations finally realizes the self-calibration of 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 relationsh...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 赵越李超陈旭
Owner YUNNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products