Visualization of temperature change using RGB-D camera and thermal camera

Wataru Nakagawa, Kazuki Matsumoto, Francois de Sorbier, Maki Sugimoto, Hideo Saito, Shuji Senda, Takashi Shibata, Akihiko Iketani

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

In this paper, we present a system for visualizing temperature changes in a scene using an RGB-D camera coupled with a thermal camera. This system has applications in the context of maintenance of power equipments. We propose a two-stage approach made of with an offline and an online phases. During the first stage, after the calibration, we generate a 3D reconstruction of the scene with the color and the thermal data. We then apply the Viewpoint Generative Learning (VGL) method on the colored 3D model for creating a database of descriptors obtained from features robust to strong viewpoint changes. During the second online phase we compare the descriptors extracted from the current view against the ones in the database for estimating the pose of the camera. In this situation, we can display the current thermal data and compare it with the data saved during the offline phase.

本文言語English
ホスト出版物のタイトルComputer Vision - ECCV 2014 Workshops, Proceedings
編集者Michael M. Bronstein, Carsten Rother, Lourdes Agapito
出版社Springer Verlag
ページ386-400
ページ数15
ISBN(電子版)9783319161778
DOI
出版ステータスPublished - 2015
イベント13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland
継続期間: 2014 9 62014 9 12

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8925
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other13th European Conference on Computer Vision, ECCV 2014
国/地域Switzerland
CityZurich
Period14/9/614/9/12

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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