Texture Estimation Using Thermography and Machine Learning

Tamas Aujeszky, Georgios Korres, Mohamad Eid, Farshad Khorrami

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

Abstract

Contactless material characterization has the potential to be used in various applications such as teleoperation and autonomous physical interaction robotics. Active infrared thermography is a promising approach for classifying materials based on their thermal response to laser excitation over a short distance, thus creating a contactless haptic modeling scheme. However, factors such as the texture of the object under inspection can influence the thermal signature and therefore need to be compensated against. This paper presents a method to use the exact components of a thermographic material characterization system to estimate texture, allowing it to produce more robust characterization in the presence of textured surface. Experimental results confirm that the system is capable of estimating the texture of the sampled material surface to a sufficient degree, with a promising outlook for further improvements as the data set is scaled.

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

  • Active Thermography
  • Neural Networks
  • Texture Estimation

ASJC Scopus subject areas

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

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