Tahitian Pearls' Luster Assessment Automation - Archive ouverte HAL Access content directly
Conference Papers Year : 2017

Tahitian Pearls' Luster Assessment Automation

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Gael Mondonneix
  • Function : Author
Jean-Martial Mari
Alban Gabillon
J P Barriot
  • Function : Author

Abstract

This paper represents a preliminary work toward a machine learning process which could be used to automatically assess Tahitian pearls' lustre. In particular, it investigates the different aspects of lustre which could be used to design feature vectors for machine learning algorithms.
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Dates and versions

hal-03132251 , version 1 (04-02-2021)

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Gael Mondonneix, Sébastien Chabrier, Jean-Martial Mari, Alban Gabillon, J P Barriot. Tahitian Pearls' Luster Assessment Automation. 2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), Oct 2017, Washington, United States. pp.1-9, ⟨10.1109/AIPR.2017.8457974⟩. ⟨hal-03132251⟩
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