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Loic Mazo


The world, obviously discrete, is very well described by the continuous models. Nevertheless, as the computing power increases, the interest of an intrinsically discrete modeling becomes more and more obvious.
My research in topology and geometry is part of this quest for the representation in integers of phenomena that have been described continuously.


Journal articles12 documents

Conference papers16 documents

  • Etienne Le Quentrec, Loïc Mazo, Etienne Baudrier, Mohamed Tajine. Local turn-boundedness: a curvature control for a good digitization. 21st IAPR International Conference on Discrete Geometry for Computer Imagery, Mar 2019, Paris, France. ⟨hal-01898138⟩
  • Carlos Tor-Díez, Sylvain Faisan, Loïc Mazo, Nathalie Bednarek, Hélène Meunier, et al.. Multilabel, multiscale topological transformation for cerebral MRI segmentation post-processing. International Symposium on Mathematical Morphology (ISMM), 2019, Saarbrücken, Germany. pp.471-482, ⟨10.1007/978-3-030-20867-7_36⟩. ⟨hal-01982972⟩
  • Yves Michels, Etienne Baudrier, Loïc Mazo. Radial Function Based Ab-Initio Tomographic Reconstruction for Cryo Electron Microscopy. 2018 25th IEEE International Conference on Image Processing (ICIP), Oct 2018, Athens, Greece. ⟨10.1109/ICIP.2018.8451792⟩. ⟨hal-01909730⟩
  • Loïc Mazo, Étienne Baudrier. Study on the digitization dual combinatorics and convex case. Discrete Geometry for Computer Imagery, Sep 2017, Vienna, Austria. ⟨10.1007/978-3-319-66272-5⟩. ⟨hal-01497127⟩
  • Etienne Baudrier, Loïc Mazo. Curve Digitization Variability. 19th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI 2016), Apr 2016, Nantes, France. ⟨10.1007/978-3-319-32360-2_5⟩. ⟨hal-01314386⟩
  • Hmida Rojbani, Etienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda. Joint 3D alignment-reconstruction multi-scale approach for cryo electron tomography. IEEE International Symposium on Biomedical Imaging (ISBI 2016), Apr 2016, Prague, Czech Republic. ⟨hal-01318729⟩
  • Marie-Andrée Jacob-Da Col, Loïc Mazo. nD Quasi-Affine Transformations. Discrete Geometry for Computer Imagery, Apr 2016, Nantes, France. pp.337-348, ⟨10.1007/978-3-319-32360-2_26⟩. ⟨hal-01078723v2⟩
  • Hmida Rojbani, Etienne Baudrier, Benoît Naegel, Loïc Mazo, Atef Hamouda. Angular Uncertainty Refinement and Image Reconstruction Improvement in Cryo-electron Tomography. International Conference on Computer Vision Theory and Applications, Feb 2016, Rome, Italy. ⟨10.5220/0005680600940100⟩. ⟨hal-01910150⟩
  • Minh Phan, Etienne Baudrier, Loïc Mazo, Mohamed Tajine. Estimation of angular difference between tomographic projections taken at unknown directions in 3D. 2015 IEEE International Conference on Image Processing (ICIP), Sep 2015, Quebec City, France. ⟨10.1109/ICIP.2015.7350762⟩. ⟨hal-01910167⟩
  • Loic Mazo, Etienne Baudrier. About multigrid convergence of some length estimators. Discrete Geometry for Computer Imagery, Sep 2014, Siena, Italy. pp.214-225, ⟨10.1007/978-3-319-09955-2_18⟩. ⟨hal-00990694⟩
  • Minh-Son Phan, Etienne Baudrier, Loïc Mazo, Mohamed Tajine. Angular difference measure between tomographic projections taken at unknown directions in 2D. 2014 IEEE International Conference on Image Processing (ICIP), Oct 2014, Paris, France. ⟨10.1109/ICIP.2014.7025348⟩. ⟨hal-01910194⟩
  • Loïc Mazo. A framework for digital label images. Computational Topology in Image Context, May 2012, Bertinoro, Italy. pp.1-10, ⟨10.1007/978-3-642-30238-1_1⟩. ⟨hal-00962186⟩
  • Loïc Mazo, Nicolas Passat, Michel Couprie, Christian Ronse. A unified topological framework for digital imaging. Discrete Geometry for Computer Imagery (DGCI), 2011, Nancy, France. pp.163-174, ⟨10.1007/978-3-642-19867-0_14⟩. ⟨hal-00728915⟩
  • Nicolas Passat, Michel Couprie, Loïc Mazo, Gilles Bertrand. Topology-preserving thinning in 2-D pseudomanifolds. Discrete Geometry for Computer Imagery (DGCI), 2009, Lyon, France. pp.217-228, ⟨10.1007/978-3-642-04397-0_19⟩. ⟨hal-00622408⟩
  • Nicolas Passat, Michel Couprie, Loïc Mazo, Gilles Bertrand. Minimal simple sets: A new concept for topology-preserving transformations. Computational Topology in Image Context (CTIC), 2008, Poitiers, France. ⟨hal-01694895⟩
  • Nicolas Passat, Michel Couprie, Gilles Bertrand, Loïc Mazo. Des grumeaux dans la topologie : une introduction à la notion d'ensemble simple. Journées du Groupe de Travail en Géométrie Discrète (GT GeoDis), 2007, Saint-Dié-des-Vosges, France. ⟨hal-01694892⟩

Theses1 document

  • Loïc Mazo. Déformations homotopiques dans les images digitales n-aires. Traitement des images. Université de Strasbourg, 2011. Français. 〈tel-00660049〉

Preprints, Working Papers, ...1 document

  • Yves Michels, Etienne Baudrier, Loïc Mazo, Mohamed Tajine. Density based graph denoising for manifold learning. 2019. ⟨hal-02012395⟩