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

Binocular stereoscopic vision image measurement method based on polar line correction

A binocular stereo vision and epipolar correction technology, applied in the field of computer vision, can solve the problems of parallax value error, affecting measurement accuracy, etc., and achieve the effects of high measurement efficiency, high measurement accuracy and good controllability

Inactive Publication Date: 2019-07-12
XIDIAN UNIV
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method does not need a reference object with known size in the scene, and effectively overcomes the limitation of the reference object in monocular vision image measurement, but the disadvantage is that in the process of calculating the disparity value, due to the two images are not realized Line alignment, resulting in a certain error in the parallax value, affecting the measurement accuracy

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
  • Binocular stereoscopic vision image measurement method based on polar line correction
  • Binocular stereoscopic vision image measurement method based on polar line correction
  • Binocular stereoscopic vision image measurement method based on polar line correction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] refer to figure 1 , the present invention comprises the following steps:

[0033] Step 1) Obtain the internal parameters and external parameters of the binocular camera:

[0034] Step 1a) The binocular camera collects N pieces of checkerboard images, N≥3, generally 10 to 20 pieces are better, and 15 pieces of checkerboard images are collected in this embodiment;

[0035] Step 1b) Call the Camera Calibration calibration module in the MATLAB software, read in all the collected checkerboard images in turn and detect the corner points of each image checkerboard, based on the conversion relationship between the checkerboard corner points in the pixel coordinate system and the world coordinate system, The internal parameter f, external parameters R and T of the binocular camera are obtained, f represents the normalized focal length...

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 provides a binocular stereoscopic vision image measurement method based on polar line correction, used for solving a technical problem of low measurement precision of a binocular stereoscopic vision image in the prior art. The implementation steps of the method comprises: (1) acquiring internal parameters and external parameters of a binocular camera; (2) performing polar line correction on the binocular stereoscopic vision image; (3) preprocessing the binocular stereoscopic vision image subjected to polar line correction; (4) obtaining a matching point pair set of the preprocessed binocular stereoscopic vision image; (5) calculating the three-dimensional coordinates of all points to be measured in the target object corresponding to the matching point pair set under the worldcoordinate system; and (6) obtaining geometric distance information between any two points of the target object in the binocular stereoscopic vision image. According to the method, a polar line correction algorithm is added in the binocular stereoscopic vision image measurement process, the binocular stereoscopic vision image measurement precision is improved, and the method can be used for sizemeasurement of a target object with the high precision requirement.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and relates to a binocular stereo vision image measurement method, in particular to a binocular stereo vision image measurement method based on epipolar correction, which can be used for dimension measurement of target objects requiring high precision. [0002] technical background [0003] In actual production and life, people have a great demand for the size measurement of objects, and the requirements for measurement efficiency and measurement accuracy are getting higher and higher. The traditional measurement of object size mostly adopts the manual contact measurement method. The actual measurement is carried out with the help of measuring tools such as a tape measure, and the measurement data is manually interpreted and recorded. For high target objects, this method is not easy to operate and has certain risks. [0004] In order to solve the disadvantages of low efficiency, poor oper...

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): G06T7/80G06T7/33G06T5/00G01B11/00
CPCG06T7/85G06T7/33G01B11/002G06T2207/10012G06T2207/30208G06T2207/30244G06T2207/20228G06T2207/20032G06T5/70
Inventor 杜建超惠海芳肖洒朱苏雅李云松肖嵩
Owner XIDIAN 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