A Camera Self-Calibration Method Based on Absolute Conic Image

A quadratic curve, self-calibration technology, used in image analysis, image data processing, instruments, etc., can solve problems such as calibrating camera parameters, and achieve the effect of improving accuracy, reducing the impact of data, and wide practicability

Active Publication Date: 2021-09-24
BEIHANG UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in the existing technology, it is impossible to quickly and accurately calibrate the camera parameters when the camera parameters are unknown.

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
  • A Camera Self-Calibration Method Based on Absolute Conic Image
  • A Camera Self-Calibration Method Based on Absolute Conic Image
  • A Camera Self-Calibration Method Based on Absolute Conic Image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0162] Examples used in the present invention are Figure 7 and Figure 8 As shown, fix a GoPro HERO 6 digital camera on a tripod, adjust the position of the camera by adjusting the tripod or the joystick to shoot the target. The resolution of the digital camera is: 4000 pixels × 3000 pixels.

[0163] (1) Comparison of camera internal parameter calibration results

[0164] In the present invention, firstly, a checkerboard is used to calibrate the internal parameters of the camera, and the result is used as a benchmark for comparison. The tool used is the Bouguet camera calibration toolbox in Matlab. The spacing between the checkerboards used was 25 mm. In order to improve the accuracy of the internal parameters of the camera with the target calibration and reduce the influence of random factors on the calibration results, the following measures are adopted: 1. Place the tripods in different positions and take multiple groups of photos at different angles to ensure that the ...

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 camera self-calibration method based on an absolute quadratic curve image, and belongs to the technical field of image processing and camera calibration. The method is specifically: extracting feature points and feature lines, calculating images of vanishing points, vanishing lines, and virtual circle points; calculating images of absolute quadratic curves according to the images of vanishing points and virtual circle points and obtaining the camera The internal parameter matrix of the rotation matrix is ​​used to calculate the rotation matrix by using the orthogonal characteristics of the rotation matrix, and the translation vector is calculated by using the position of the camera center in the world coordinate system; the vanishing line calculated by using the perspective projection model and the vanishing point obtained by fitting the vanishing point Lines are compared to calculate the Euler angle of the camera; the normalization algorithm is used to solve the basic matrix, determine the constraint relationship between different images, and complete the camera self-calibration. The invention has the advantages of designing a new target, which is simple, convenient and practical for calibration, has wide applicability, improves the accuracy of data processing, and reduces the influence of coordinate transformation on data.

Description

technical field [0001] The invention belongs to the technical field of image processing and camera calibration, and in particular relates to a camera self-calibration method based on an absolute quadratic image. Background technique [0002] In recent years, with the development of artificial intelligence research, computer vision (such as visual navigation SLAM, 3D reconstruction, augmented reality, etc.), as one of the key technologies of artificial intelligence, has also received more and more attention. Now there are more and more technicians studying computer vision, and the research is getting deeper and deeper, and the application of computer vision in daily life is becoming more and more extensive. Before computer image processing, the most important work is to determine the parameters of the camera, including the internal parameters and external parameters of the camera. The accuracy of camera parameter calibration will directly affect the accuracy and precision of...

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 Patents(China)
IPC IPC(8): G06T7/80
CPCG06T7/80
Inventor 吴森堂刘文磊
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap