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

Masahiro Yamaguchi, Hideo Saito, Shoji Yachida

研究成果: Conference contribution

4 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルVISAPP
出版者SciTePress
ページ216-223
ページ数8
4
ISBN(電子版)9789897582257
出版物ステータスPublished - 2017 1 1
イベント12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017 - Porto, Portugal
継続期間: 2017 2 272017 3 1

Other

Other12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2017
Portugal
Porto
期間17/2/2717/3/1

ASJC Scopus subject areas

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

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  • これを引用

    Yamaguchi, M., Saito, H., & Yachida, S. (2017). Application of LSD-SLAM for visualization temperature in wide-area environment. : VISAPP (巻 4, pp. 216-223). SciTePress.