An Approach to Estimate Emissivity for Thermography-based Material Recognition

Tamas Aujeszky, Georgios Korres, Mohamad Eid, Farshad Khorrami

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

Abstract

Multimodal characterization of unknown environments is of increasing necessity in various applications (such as autonomous or Tele-operated robots). While audiovisual mapping can be performed in high fidelity and real time, haptic mapping is lagging behind. Infrared thermography is an emergent technology for performing material characterization without a need for contact between the sensing element and the object, enabling a wider range of use cases, such as dealing with delicate items. However, the signal provided by a thermal camera used in such setups depends on the thermal emissivity of the examined sample. This paper presents an approach to estimate the emissivity of an object through its reflection of light. The contactless nature of this approach allows for it to be used as part of a thermographic material characterization framework.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538683446
DOIs
StatePublished - Jun 2019
Event24th Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Tianjin, China
Duration: Jun 14 2019Jun 16 2019

Publication series

Name2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Proceedings

Conference

Conference24th Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019
CountryChina
CityTianjin
Period6/14/196/16/19

Keywords

  • Haptic interfaces
  • Thermal radiation
  • Thermography

ASJC Scopus subject areas

  • Artificial Intelligence
  • Cognitive Neuroscience
  • Instrumentation
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Media Technology

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    Aujeszky, T., Korres, G., Eid, M., & Khorrami, F. (2019). An Approach to Estimate Emissivity for Thermography-based Material Recognition. In 2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Proceedings [9071626] (2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIVEMSA45640.2019.9071626