Registration of RGB and thermal point clouds generated by structure from motion
In: Multi-Sensor Fusion for Dynamic Scene Understanding Multi-Sensor Fusion for Dynamic Scene Understanding, Oct 2017, Venice, Italy. ⟨10.1109/ICCVW.2017.57⟩ ICCV Workshops; (2017-10-22)
Online
unknown
Zugriff:
International audience; Thermal imaging has become a valuable tool in various fields for remote sensing and can provide relevant information to perform object recognition or classification. In this paper, we present an automated method to obtain a 3D model fusing data from a visible and a thermal camera. The RGB and thermal point clouds are generated independently by structure from motion. The registration process includes a normalization of the point cloud scale, a global registration based on calibration data and the output of the structure from motion, and a fine registration employing a variant of the Iterative Closest Point optimization. Experimental results demonstrate the accuracy and robustness of the overall process.
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Registration of RGB and thermal point clouds generated by structure from motion
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| Autor/in / Beteiligte Person: | Mori, Shohei ; Saito, Hideo ; Trong Phuc Truong ; Nozick, Vincent ; Yamaguchi, Masahiro ; hyper vision research lab (hvrl) ; Laboratoire d'Informatique Gaspard-Monge (LIGM) ; Université Paris-Est Marne-la-Vallée (UPEM)-École des Ponts ParisTech (ENPC)-ESIEE Paris-Fédération de Recherche Bézout-Centre National de la Recherche Scientifique (CNRS) ; Japanese French Laboratory for Informatics (JFLI) ; National Institute of Informatics (NII)-Université Pierre et Marie Curie - Paris 6 (UPMC)-The University of Tokyo (UTokyo)-Centre National de la Recherche Scientifique (CNRS) ; Centre National de la Recherche Scientifique (CNRS)-Fédération de Recherche Bézout-ESIEE Paris-École des Ponts ParisTech (ENPC)-Université Paris-Est Marne-la-Vallée (UPEM) |
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| Quelle: | Multi-Sensor Fusion for Dynamic Scene Understanding Multi-Sensor Fusion for Dynamic Scene Understanding, Oct 2017, Venice, Italy. ⟨10.1109/ICCVW.2017.57⟩ ICCV Workshops; (2017-10-22) |
| Veröffentlichung: | HAL CCSD, 2017 |
| Medientyp: | unknown |
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