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Automatic Registration of Non-overlapping Laser Scans Based on a Combination of Generated Images from Laser Data and Digital Images in One Bundle

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Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection (EuroMed 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8740))

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Abstract

This paper presents an automatic methodology capable of registering non-overlapping laser scans based on a bundle block adjustment for the orientation estimation of synthetic images generated from the 3D data and camera images using a Structure-from-Motion (SfM) method. Adding camera images to the registration of the generated images can improve the block geometry. The SfM process provides accurate image orientations and sparse point clouds, initially in an arbitrary model space. This enables an implicit determination of the 3D-to-3D correspondences between the sparse points and the laser data then, the Helmert transformation is introduced and its parameters are computed. This results in registering the non-overlapping scans, since the relative orientations between the generated images are determined at the SfM step and transformed to the absolute coordinate system directly. The proposed approach was tested on real case studies and experimental results are shown to demonstrate the effectiveness of the presented method.

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Author information

Authors and Affiliations

  1. Institute for Photogrammetry (ifp), University of Stuttgart, Geschwister-Scholl-Str. 24D, 70174, Stuttgart, Germany

    Wassim Moussa & Dieter Fritsch

Authors
  1. Wassim Moussa
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  2. Dieter Fritsch
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering and Informatics, Digital Heritag Research Lab, Cyprus University of Technology, Archbishop Kyprianou 31, 3036, Limassol, Cyprus

    Marinos Ioannides

  2. Institute for Media Innovation (IMI), Nanyang Technological University, Singapore

    Nadia Magnenat-Thalmann

  3. 2360 N. Vernon Street, Arlington, VA 22207, USA

    Eleanor Fink

  4. Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova 2, 1000, Ljubljana, Slovenia

    Roko Žarnić

  5. China University of Technology, 53 Sec3, Shinlong Rd., Taipei, Taiwan

    Alex-Yianing Yen

  6. Wave Engineering Laboratory, Center for Nonlinear Studies, Tallinn University of Technology, Institute of Cybernetics, Akadeemia tee 21, 12618, Tallinn, Estonia

    Ewald Quak

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© 2014 Springer International Publishing Switzerland

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Moussa, W., Fritsch, D. (2014). Automatic Registration of Non-overlapping Laser Scans Based on a Combination of Generated Images from Laser Data and Digital Images in One Bundle. In: Ioannides, M., Magnenat-Thalmann, N., Fink, E., Žarnić, R., Yen, AY., Quak, E. (eds) Digital Heritage. Progress in Cultural Heritage: Documentation, Preservation, and Protection. EuroMed 2014. Lecture Notes in Computer Science, vol 8740. Springer, Cham. https://doi.org/10.1007/978-3-319-13695-0_1

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  • DOI: https://doi.org/10.1007/978-3-319-13695-0_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13694-3

  • Online ISBN: 978-3-319-13695-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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