@inproceedings{98557b17f1804f228a24934bf87784dc,
title = "An Approach to Estimate Emissivity for Thermography-based Material Recognition",
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.",
keywords = "Haptic interfaces, Thermal radiation, Thermography",
author = "Tamas Aujeszky and Georgios Korres and Mohamad Eid and Farshad Khorrami",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 24th Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 ; Conference date: 14-06-2019 Through 16-06-2019",
year = "2019",
month = jun,
doi = "10.1109/CIVEMSA45640.2019.9071626",
language = "English (US)",
series = "2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2019 - Proceedings",
}