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

Masahiro Yamaguchi, Hideo Saito, Shoji Yachida

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルVISAPP
編集者Francisco Imai, Alain Tremeau, Jose Braz
出版社SciTePress
ページ216-223
ページ数8
ISBN(電子版)9789897582257
DOI
出版ステータスPublished - 2017
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月 272017 3月 1

出版物シリーズ

名前VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
4

Other

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

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • コンピュータ ビジョンおよびパターン認識
  • 人工知能

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