Estimating the mutual orientation in a multi-camera system with a non overlapping field of view

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Daniel Muhle
  • Steffen Abraham
  • Christian Heipke
  • Manfred Wiggenhagen

External Research Organisations

  • Robert Bosch GmbH
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Details

Original languageEnglish
Title of host publicationPhotogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings
Pages13-24
Number of pages12
Publication statusPublished - 2011
EventISPRS Conference on Photogrammetric Image Analysis, PIA 2011 - Munich, Germany
Duration: 5 Oct 20117 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6952 LNCS
ISSN (Print)0302-9743
ISSN (electronic)1611-3349

Abstract

Multi-camera systems offer some advantages over classical systems like stereo or monocular camera systems. A multi-camera system with a non-overlapping field of view, able to cover a wide area, might prove superior e.g. in a mapping scenario where less time is needed to cover the entire area. Approaches to determine the parameters of the mutual orientation from common motions exist for more than 30 years. Most work presented in the past neglected or ignored the influence different motion characteristics have on the parameter estimation process. However, for critical motions a subset of the parameters of the mutual orientation can not be determined or only very inaccurate. In this paper we present a strategy and assessment scheme to allow a successful estimation of as many parameters as possible even for critical motions. Furthermore, the proposed approach is validated by experiments.

Keywords

    bundle adjustment, image sequence, motion, Mutual orientation, non-overlapping field of view

ASJC Scopus subject areas

Cite this

Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. / Muhle, Daniel; Abraham, Steffen; Heipke, Christian et al.
Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. p. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6952 LNCS).

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Muhle, D, Abraham, S, Heipke, C & Wiggenhagen, M 2011, Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. in Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6952 LNCS, pp. 13-24, ISPRS Conference on Photogrammetric Image Analysis, PIA 2011, Munich, Germany, 5 Oct 2011. https://doi.org/10.1007/978-3-642-24393-6_2
Muhle, D., Abraham, S., Heipke, C., & Wiggenhagen, M. (2011). Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. In Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings (pp. 13-24). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6952 LNCS). https://doi.org/10.1007/978-3-642-24393-6_2
Muhle D, Abraham S, Heipke C, Wiggenhagen M. Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. In Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. p. 13-24. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-24393-6_2
Muhle, Daniel ; Abraham, Steffen ; Heipke, Christian et al. / Estimating the mutual orientation in a multi-camera system with a non overlapping field of view. Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. pp. 13-24 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Download
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