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Least squares pose estimation of cylinder axes from multiple views using contour line features

  • In this paper, a new method for a minimum-error pose estimation of cylinder axes based on apparent contour line features from multiple views is presented. Novel model equations for both single and particularly multiple views are derived, and based upon these, an iterative algorithm for least squares fitting the model to imaged cylinder contour line features is introduced. The good performance and fast convergence of the proposed algorithm is shown by solving exemplary fitting problems.

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Metadaten
Author:Mark Becke, Thomas SchleglORCiD
DOI:https://doi.org/10.1109/IECON.2015.7392371
Parent Title (English):IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, 9-12 Nov. 2015, Yokohama, Japan
Publisher:IEEE
Document Type:conference proceeding (article)
Language:English
Year of first Publication:2015
Release Date:2022/05/13
Tag:Cameras; Feature extraction; GEOMETRY; Image reconstruction; Mathematical model
First Page:1855
Last Page:1861
Institutes:Fakultät Maschinenbau
Begutachtungsstatus:peer-reviewed
research focus:Energie und Mobilität
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG