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

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

12 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationComputer Vision - ECCV 2014 Workshops, Proceedings
EditorsMichael M. Bronstein, Carsten Rother, Lourdes Agapito
PublisherSpringer Verlag
Number of pages15
ISBN (Electronic)9783319161778
Publication statusPublished - 2015
Event13th European Conference on Computer Vision, ECCV 2014 - Zurich, Switzerland
Duration: 2014 Sept 62014 Sept 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th European Conference on Computer Vision, ECCV 2014

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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