Tahitian Pearls' Luster Assessment Automation - Université de la Polynésie française
Conference Papers Year : 2017

Tahitian Pearls' Luster Assessment Automation

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.

Domains

Animal biology
Fichier principal
Vignette du fichier
Mondonneix et al. - 2014 - T ahitian Pearls ’ Lustre Assessment.pdf (1.02 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

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

Identifiers

Cite

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⟩
60 View
133 Download

Altmetric

Share

More