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

Calibration method of multi-camera system based on multi-planar stereo target

A multi-faceted, three-dimensional, system calibration technology, applied in the field of computer vision, can solve the problems of accumulated errors of 3D or 2D calibration objects, cumbersome process of 1D calibration objects, etc., and achieves fast calibration process, high calibration result accuracy, and accurate pose relationship. Effect

Inactive Publication Date: 2019-01-18
HEFEI UNIV OF TECH
View PDF3 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the shortcomings of the existing multi-camera system calibration methods, the present invention provides a multi-camera system calibration method based on multi-faceted three-dimensional targets, aiming at solving the cumbersome process of using one-dimensional calibration objects for current multi-camera system calibration, and using three-dimensional or two-dimensional calibration methods. The problem of cumulative error

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
  • Calibration method of multi-camera system based on multi-planar stereo target
  • Calibration method of multi-camera system based on multi-planar stereo target
  • Calibration method of multi-camera system based on multi-planar stereo target

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0046] Such as figure 1As shown, a multi-camera system calibration method based on multi-faceted three-dimensional targets, the specific steps include:

[0047] Step 1, making a multi-faceted three-dimensional target, the multi-faceted three-dimensional target has at least three target planes;

[0048] The multi-faceted three-dimensional target is in the shape of a regular pyramid with at least three sides, and the at least three sides of the regular pyramid are target planes. The multi-faceted three-dimensional target used in this embodiment is in the shape of a regular quadrangular pyramid, and the four sides of the regular quadrangular pyramid are target planes.

[0049] The target planes are all attached with a calibration feature pattern, and the connection of different target planes is attached with a plane identification pattern.

[0050] The calibration characteristic pattern 1 is a circular pattern, and the size, quantity, and arrangement of the circular patterns ar...

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 multi-camera system calibration method based on a multi-plane stereoscopic target. The multi-plane stereoscopic target is manufactured. At least three target planes of the multi-plane stereoscopic target are photographed by different cameras at the same time, and at least two target planes photographed by any two cameras coincide. The homography between the target plane and the photographed image plane is used to calculate the intrinsic parameters of the camera. The conversion relationship between each camera coordinate system and the world coordinate system corresponding to the coincident target plane is solved, and the conversion relationship between camera coordinate systems of each camera is solved, and the external parameters of the multi-camera system is determined. The calibration process of the invention is fast and simple, and the calibration result has high precision. Only one image needs to be photographed, and there is no transfer error; The process of target processing is simple. Feature circle contour and rectangular pattern can be easily detected.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a multi-camera system calibration method based on multi-faceted three-dimensional targets. Background technique [0002] With its advantages of non-contact, real-time and visual measurement, the visual measurement method has played an increasingly important role in the field of geometric measurement and mechanical manufacturing in recent years. Calibration is the basis and key link of visual measurement. The accuracy of camera calibration It is an important prerequisite to ensure the measurement accuracy. [0003] Camera calibration methods can be divided into three categories: traditional calibration methods based on calibration objects, active vision calibration methods and self-calibration methods. The traditional calibration method uses a calibration target with a known structure, and solves the internal and external parameters of the camera by establishing the corre...

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
IPC IPC(8): G06T7/80
CPCG06T7/85
Inventor 张进柴志文邓华夏杨泽余寰马孟超钟翔
Owner HEFEI UNIV OF TECH
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