Application of LSD-SLAM for visualization temperature in wide-area environment

Masahiro Yamaguchi, Hideo Saito, Shoji Yachida

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In this paper, we propose a method to generate a three-dimensional (3D) thermal map by overlaying thermal images onto a 3D surface reconstructed by a monocular RGB camera. In this method, we capture the target scene moving both an RGB camera and a thermal camera, which are mounted on the same zig. From the RGB image sequence, we reconstruct 3D structures of the scene by using Large-Scale Direct Monocular Simultaneous Localization and Mapping (LSD-SLAM), on which temperature distribution captured by the thermal camera is overlaid, thus generate a 3D thermal map. The geometrical relationship between those cameras is calibrated beforehand by using a calibration board that can be detected by both cameras. Since we do not use depth cameras such as Kinect, the depth of the target scene is not limited by the measurement range of the depth camera; any depth range can be captured. To demonstrating this technique, we show synthesized 3D thermal maps for both indoor and outdoor scenes.

Original languageEnglish
Title of host publicationVISAPP
EditorsFrancisco Imai, Alain Tremeau, Jose Braz
PublisherSciTePress
Pages216-223
Number of pages8
ISBN (Electronic)9789897582257
DOIs
Publication statusPublished - 2017
Event12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017 - Porto, Portugal
Duration: 2017 Feb 272017 Mar 1

Publication series

NameVISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
Volume4

Other

Other12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017
CountryPortugal
CityPorto
Period17/2/2717/3/1

Keywords

  • RGB Camera
  • SLAM
  • Thermal Camera

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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  • Cite this

    Yamaguchi, M., Saito, H., & Yachida, S. (2017). Application of LSD-SLAM for visualization temperature in wide-area environment. In F. Imai, A. Tremeau, & J. Braz (Eds.), VISAPP (pp. 216-223). (VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications; Vol. 4). SciTePress. https://doi.org/10.5220/0006153402160223