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Nomadic point cloud calibration

Abstract : We introduce a mobile device for visual calibration of a large amount of high resolution digital images to support point cloud generation. This external nomadic device provides additional calibration information to be fed into standard 3D scene reconstruction software. Thus, gaps of non-overlapping camera images can be bridged for the calibration process. Point cloud processing significantly speeds up by reducing algorithmic complexity and manual interactions. We show a performance evaluation of an appropriate nomadic image calibration device demonstrator. Finally, we present the 3D reconstruction of a former in-ground mine for archaeological research as an application.
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https://hal-univ-orleans.archives-ouvertes.fr/hal-02549507
Contributor : Scd Université d'Orléans <>
Submitted on : Tuesday, April 21, 2020 - 3:15:15 PM
Last modification on : Wednesday, April 22, 2020 - 1:51:40 AM

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Jürgen Heckes, Adrien Arles, Alexander Klein, Dorota Ciba, Gerd-Jurgen Giefing. Nomadic point cloud calibration. 2014 IEEE International Conference on Systems, Man and Cybernetics - SMC, Oct 2014, San Diego (CA), United States. pp.483-488, ⟨10.1109/SMC.2014.6973954⟩. ⟨hal-02549507⟩

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