Madame Nicole CHRISTOFF / PhD


enseignant-chercheur, enseignant du supérieur*chercheur en milieu académique*

Contact details

Professional contact details

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Jobs

Research : OUI

PhD

Title : Informatique

First registration date : 1 March 2015 / 3A

Doctoral school : Mathématiques et Informatique de Marseille

Thesis defense date : 19 December 2018

Subject : Détection et caractérisation d'attributs géométriques sur les corps rocheux du système solaire

Thesis supervisor : MARI JEAN-LUC

Thesis co-supervisor :

Master's degree

Title : Master d'ingénieur

July 2014 - UT-Sofia

Publications

  • Feature extraction and automatic detection of Martian impact craters from 3D meshes
    IEEE conference TELSIKS 2017, 2017
    N. Christoff, A. Manolova, L. Jorda, and J.-L. Mari

  • Feature extraction and classification using minimal curvature of 3D mesh for automatic crater detection
    52nd International Scientific Conference on Information, Communication and Energy Systems and Technologies, 2017
    N. Christoff

  • Discrete curvatures combined with machine learning for automated extraction of impact craters on 3D topographic meshes
    2017
    Nicole Christoff, Laurent Jorda, Sophie Viseur, Sylvain Bouley, Agata Manolova, Jean-Luc Mari

  • Extraction of "best fit circles" on 3D meshes based on discrete curvatures: application to impact craters detection
    2016
    Florian Beguet, Sarah Bali, Nicole Christoff, Laurent Jorda, Sophie Viseur, Sylvain Bouley, Agata Manolova, Jean-Luc Mari

  • New interactive interface for visualization of 3D meshes
    International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST 2016), Ohrid, Macedonia, 2016
    N.Christoff, H.Greef, S.Germond-Mazet, J.-L.Mari, L.Jorda and A.Manolova

  • Level-set based algorithm for automatic feature extraction on 3D meshes: Application to crater detection on Mars
    ICCVG 2018: Computer Vision and Graphics, 2018
    N. Christoff, A. Manolova, L. Jorda, S. Viseur, S. Bouley and J.-L. Mari
    https://link.springer.com/chapter/10.1007/978-3-030-00692-1_10
  • Morphological Crater Classification via Convolutional Neural Network with Application on MOLA data
    Advances in Neural Networks and Applications 2018 (ANNA'18), 2018
    N. Christoff, A. Manolova, L. Jorda and J.-L. Mari

Languages

Français : C2 - Courant

Anglais : B2 - Intermédiaire supérieur

Bulgare : C2 - Maternel