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Photogrammetric Multi-Camera Calibration Using An Industrial Programmable Robotic Arm

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA)
PublisherIEEE
Pages288-294
Number of pages7
ISBN (Electronic)978-1-7281-3140-5
ISBN (Print)978-1-7281-3141-2
DOIs
Publication statusPublished - 1 Sep 2019
Publication typeA4 Article in a conference publication
EventInternational Symposium on Image and Signal Processing and Analysis -
Duration: 1 Jan 1900 → …

Publication series

NameInternational Symposium on Image and Signal Processing and Analysis
ISSN (Print)1845-5921
ISSN (Electronic)1849-2266

Conference

ConferenceInternational Symposium on Image and Signal Processing and Analysis
Period1/01/00 → …

Abstract

Calibration of multiple cameras is a critical step in most vision enhancement systems. Target-based calibration approaches are known to provide accurate and stable results. However, they require manually performed capture procedures. This paper presents a generalization of a widely used single-camera target-based calibration algorithm to the case of n cameras. In order to obtain fully repeatable results, we propose the elimination of the manual capture step using a programmable robotic arm. Furthermore, we investigate the use of the position feedback provided by the robot. This is done specifically for the case of calibrating cameras without assumptions on their positions and overlapping of their fields of view. Results show that automatically captured images provide more accurate calibration results than the classical approach. Additionally, calibration of fully non-overlapping setups is made possible through our approach.

Keywords

  • calibration, cameras, image sensors, photogrammetry, robot vision, vision enhancement systems, target-based calibration approaches, single-camera target-based calibration algorithm, photogrammetric multicamera calibration, industrial programmable robotic arm, manual capture step elimination, position feedback, Cameras, Calibration, Feature extraction, Estimation, Robot vision systems, Signal processing algorithms, Multi-Camera, Photogrammetric Calibration, Mobile Work Machines, Light-Field Capture

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Field of science, Statistics Finland

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