Next Article in Journal
Networked Fusion Filtering from Outputs with Stochastic Uncertainties and Correlated Random Transmission Delays
Previous Article in Journal
Energy Efficient IoT Data Collection in Smart Cities Exploiting D2D Communications
Article Menu

Export Article

Open AccessArticle
Sensors 2016, 16(6), 838; doi:10.3390/s16060838

A Global Calibration Method for Widely Distributed Cameras Based on Vanishing Features

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Academic Editor: Fabrizio Lamberti
Received: 7 April 2016 / Revised: 23 May 2016 / Accepted: 1 June 2016 / Published: 8 June 2016
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [12218 KB, uploaded 8 June 2016]   |  

Abstract

This paper presents a global calibration method for widely distributed vision sensors in ring-topologies. Planar target with two mutually orthogonal groups of parallel lines is needed for each camera. Firstly, the relative pose of each camera and its corresponding target is found from the vanishing points and lines. Next, an auxiliary camera is used to find the relative poses between neighboring pairs of calibration targets. Then the relative pose from each target to the reference target is initialized by the chain of transformations, followed by nonlinear optimization based on the constraint of ring-topologies. Lastly, the relative poses between the cameras are found from the relative poses of calibration targets. Synthetic data, simulation images and real experiments all demonstrate that the proposed method is reliable and accurate. The accumulated error due to multiple coordinate transformations can be adjusted effectively by the proposed method. In real experiment, eight targets are located in an area about 1200 mm × 1200 mm. The accuracy of the proposed method is about 0.465 mm when the times of coordinate transformations reach a maximum. The proposed method is simple and can be applied to different camera configurations. View Full-Text
Keywords: widely-distributed vision sensors; global calibration; parallel line; vanishing points; vanishing lines; pose estimation widely-distributed vision sensors; global calibration; parallel line; vanishing points; vanishing lines; pose estimation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Wu, X.; Wu, S.; Xing, Z.; Jia, X. A Global Calibration Method for Widely Distributed Cameras Based on Vanishing Features. Sensors 2016, 16, 838.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top