The following publications are possibly variants of this publication:
- Computer vision based nacre thickness measurement of Tahitian pearlsMartin Loesdau, Sébastien Chabrier, Alban Gabillon. qcav 2017: [doi]
- Towards A Computer Vision Based Quality Assessment Of Tahitian Pearls : Automatic Nacre Thickness Measurement and Color Classification. (Vers une Classification de la Qualite de la Perle de Tahiti basee sur Vision artificiel :mesure automatique de l'epaisseur de la Nacre et Classification de la couleur )Martin Loesdau. PhD thesis, University of French Polynesia, Puna'auia, Tahiti, France, 2016. [doi]
- Automatic Classification of Tahitian PearlsMartin Loesdau, Sébastien Chabrier, Alban Gabillon. ip-c 2015: 95-101 [doi]
- Tahitian Pearls' Luster Assessment AutomationGaël Mondonneix, Sébastien Chabrier, Jean-Martial Mari, Alban Gabillon. aipr 2017: 1-9 [doi]
- Ordinal Learning with Vector Space Based Binary Predicates and Its Application to Tahitian Pearls' Luster Automatic AssessmentGaël Mondonneix, Sébastien Chabrier, Jean-Martial Mari, Alban Gabillon. icisp 2018: 90-98 [doi]