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Tahitian Pearls' Luster Assessment Automation

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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https://hal-upf.archives-ouvertes.fr/hal-03132251
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Submitted on : Thursday, February 4, 2021 - 10:58:04 PM
Last modification on : Wednesday, June 30, 2021 - 9:40:12 PM
Long-term archiving on: : Wednesday, May 5, 2021 - 7:31:50 PM

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Gael Mondonneix, Sébastien Chabrier, Jean-Martial Mari, Alban Gabillon, J 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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