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

Method for calibrating central catadioptric camera through three balls at different spatial positions

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

Inactive Publication Date: 2018-04-24
YUNNAN UNIV
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

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

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
  • Method for calibrating central catadioptric camera through three balls at different spatial positions
  • Method for calibrating central catadioptric camera through three balls at different spatial positions
  • Method for calibrating central catadioptric camera through three balls at different spatial positions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0094] The present invention proposes a method for linearly solving the internal parameters of the central catadioptric camera using three spheres in space as calibration objects. The schematic diagram of the experimental template structure used in the present invention is as follows figure 1 shown. An embodiment is described in more detail below.

[0095] The template used in the calibration of the central catadioptric camera is three balls with different positions in space, such as figure 1 The ball is Q Si (i=1,2,3), utilize the method of the present invention to calibrate the central catadioptric camera of this experiment, concrete steps are as follows: 1. fitting target curve equation

[0096] The image size used in the present invention is 1700×1600. A central catadioptric camera is used to take an experimental image of the target, read the image, use the Edge function in Matlab to extract the pixel coordinates of the edge points of the image target image, and use t...

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 discloses a method for calibrating the central catadioptric camera through three balls at different spatial positions, and the method is characterized in that the method just employs theball elements. The method comprises the steps: extracting points on an image from a captured ball image, carrying out the fitting of ball images corresponding to the three balls, and solving the pixels corresponding to the centers of small circles formed by the projection of the three balls on a unit virtual globe; solving a polar line of the circle centers relative to the ball images through therelation between a polar point and the polar line; solving two intersection points of the ball images and the polar line, i.e., the images of circle points; obtaining an absolute conic through the images of the obtained six circle points, finally carrying out the decomposition of the absolute conic, and carrying out the inversion to obtain the internal parameters of the camera.

Description

technical field [0001] The invention belongs to the field of computer vision and relates to a method for solving internal parameters of a central catadioptric camera by using three spheres in space. Background technique [0002] Computer vision refers to the recognition, detection and tracking of targets by simulating human vision through computers, image acquisition and other equipment. The central task of computer vision is to acquire, process, and analyze images. And its ultimate goal is to enable computers to have the ability to recognize the three-dimensional world through two-dimensional images. In visual measurement, the computer obtains two-dimensional image information from the camera to calculate the geometric information of the object in the three-dimensional space, and thus reconstructs and recognizes the object, while the three-dimensional geometric position of the surface point of the space object and the corresponding point in the image The interrelationship...

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): G06T7/80
CPCG06T2207/20068G06T7/85
Inventor 赵越张敬
Owner YUNNAN UNIV
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com