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International Conference on Computer Vision Systems

ICVS 2013: Computer Vision Systems pp 274–283Cite as

LaserGun: A Tool for Hybrid 3D Reconstruction

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7963))

Abstract

We present a tool for the acquisition of 3D textured models of objects of desktop size using an hybrid computer vision framework. This framework combines active laser-based triangulation with passive motion estimation. The 3D models are obtained by motion-based alignment (with respect to a fixed world frame) of imaged laser profiles backprojected onto time-varying camera frames. Two distinct techniques for estimating camera displacements are described and evaluated. The first is based on a Simultaneous Localization and Mapping (SLAM) approach, while the second exploits a planar pattern in the scene and recovers motion by homography decomposition. Results obtained with a custom laser-camera stereo setup — implemented with off-the-shelf hardware — show that a trade-off exists between the greater operational flexibility of SLAM and the higher model accuracy of the homography-based approach.

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Author information

Authors and Affiliations

  1. Computational Vision Group, Dip. di Ingegneria dell’Informazione, Universitá di Firenze, Via S. Marta 3, 50139, Firenze, Italy

    Marco Fanfani & Carlo Colombo

Authors
  1. Marco Fanfani
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  2. Carlo Colombo
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Editor information

Editors and Affiliations

  1. Intel Science and Technology Center on Embedded Computing, Pittsburgh, PA, USA

    Mei Chen

  2. UMIC Research Centre, RWTH Aachen University, Aachen, Germany

    Bastian Leibe

  3. FB Informatik, Universität Hamburg, Germany

    Bernd Neumann

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© 2013 Springer-Verlag Berlin Heidelberg

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Fanfani, M., Colombo, C. (2013). LaserGun: A Tool for Hybrid 3D Reconstruction. In: Chen, M., Leibe, B., Neumann, B. (eds) Computer Vision Systems. ICVS 2013. Lecture Notes in Computer Science, vol 7963. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39402-7_28

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  • DOI: https://doi.org/10.1007/978-3-642-39402-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39401-0

  • Online ISBN: 978-3-642-39402-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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