Yann GAVET

  • Skills

    image processing, linux, augmented reality
    C/C++, python, matlab, OpenCL

  • Research Topics

    Modelisation and simulation of surfaces, mosaics and textures
    Voronoi diagrams are classically used to model mosaic patterns (like grains or cells). In the CorImMo 3D project (ANR TecSan 2012), the study of random fields allows us to randmly determine germs as well as distances to generate a spatial partition of the 2D or 3D space. The concepts and tools are based on:
    • random fields theory (covariance function, statistical moments including the skewness and kurtosis)
    • integral geometry (e.g., Minkowski functionals: area, perimeter and connectivity number for 2D fields; volume, surface area, mean breadth and connectivity number for 3D fields)
    • and mathematical morphology (e.g., openings and closures, skeletons, watersheds, granulometry).
    Mosaics
    The corneal endothelium is constituted of non-regenerative cells. We have proposed:
    • Segmentation methods based on human visual properties (Gestalt and Marr theories)
    • Segmentation evaluation tool, called epsilon dissimilarity criterion, tolerant to visual and spatial variations
    • 3D Reconstruction method (shape from focus), applied to corneal endothelium.
    CoLIP: Color Logarithmic Image Processing
    The Color Logarithmic Image Processing (CoLIP) is a recently introduced (2011) extension of the LIP mathematical framework based on abstract linear mathematics which provides a set of specific algebraic and functional operations that can be applied to the processing of color images valued in a bounded range. The CoLIP approach has been proved to be psycho-physically consistent with several laws and characteristics of the human color perception.
    Successful applications have been reported on the white balance correction in color images.

  • Teaching Areas

    Introduction to C programming, Signal Processing (L3)
    Introduction to image processing (M1), advanced image processing (M2), High Performance Computing (openmp, openCL).
    Taught in French and/or English

  • Biography

    His research is at the crossroad of mathematics (for the scientific background), physics (for the image formation rules), computer engineering (for testing and constructing the practical solutions) and the application fields.

  • Education

    Engineer, 2001
    Master thesis in image processing, 2004
    PhD thesis in image processing, 2008
    Habilitation 2015

  • Career History

    Assistant Professor
    Leader of the CorImMo3D project (ANR 2012, 650 K€)

    4 months (2017) detachment in Thalès-Angénieux, Saint-Heand, France.
    formerly: IT developer for CNES (Space French Agency)

63 documents

  • Léo Théodon, Carole Coufort-Saudejaud, Ali Hamieh, Johan Debayle, Yann Gavet. Morphological characterization of compact aggregates using image analysis and a geometrical stochastic 3D model. ICPRS 13th International Conference on Pattern Recognition Systems, espol - Escuela superior Politécnica del Litoral, Jul 2023, Guayaquil, Ecuador. pp.1 à 7, ⟨10.1109/ICPRS58416.2023.10179036⟩. ⟨emse-04169754⟩
  • Antoine Bottenmuller, Léo Théodon, Johan Debayle, Daniel Tobón Vélez, Mallorie Tourbin, et al.. Granulometric Analysis of Maltodextrin Particles Observed by Scanning Electron Microscopy. ICPRS 13th International Conference on Pattern Recognition Systems, espol - Escuela superior Politécnica del Litoral, Jul 2023, Guayaquil, Ecuador. pp.1 à 7, ⟨10.1109/ICPRS58416.2023.10179067⟩. ⟨emse-04169470⟩
  • Abdelouahid Bentamou, Abbass Zein-Eddine, Oussama Messai, Yann Gavet. Real-time drone detection and tracking in distorted infrared images. 2023 IEEE International Conference on Image Processing - 30th ICIP 2023, IEEE; IEEE Signal processing Society; Ramaiah Institute of Technology, Oct 2023, Kuala Lumpur, Malaysia. pp.TP1.L408.2 / 3480, ⟨10.1109/ICIPC59416.2023.10328374⟩. ⟨emse-04341911⟩
  • Oussama Messai, Abdelouahid Bentamou, Abbass Zein-Eddine, Yann Gavet. Activating Frequency and VIT for 3D Point Cloud Quality Assessment without Reference. 2023 IEEE International Conference on Image Processing - 30th ICIP 2023, IEEE; IEEE Signal processing Society; Ramaiah Institute of Technology, Oct 2023, Kuala Lumpur, Malaysia. pp.WP2.L408.2/ 3481, ⟨10.1109/ICIPC59416.2023.10328373⟩. ⟨emse-04343363⟩
  • Antoine Bottenmuller, Léo Théodon, Johan Debayle, Daniel Tobón Vélez, Mallorie Tourbin, et al.. Une approche pour l’analyse granulométrique de particules condensées sur des images en niveaux de gris. GRETSI 2023 - 29ème Colloque Francophone du Traitement du Signal et des Images, Aug 2023, Grenoble, France. pp.2023-1378 / 1153 à 1156. ⟨emse-04195651⟩
  • Gilles Thuret, Zhiguo He, Vaitinadapoulle Hanielle, Hatem El Amri, Olfa Ben Moussa, et al.. Birth and death simulation of human corneal endothelium cells. ECSIA'2021 : The 13th European Congress for Stereology and Image Analysis, Mines Saint-Etienne - Institut Mines Telecom (IMT), Jun 2021, Saint-Etienne, France. ⟨emse-03543132⟩
  • Eloi Dussy Lachaud, Andrew Caunes, Gilles Thuret, Yann Gavet. Digital twins of human corneal endothelium from generative adversarial networks. Fifteenth International Conference on Quality Control by Artificial Vision (QCAV 2021), May 2021, Tokushima, Japan. pp.117940L, ⟨10.1117/12.2586772⟩. ⟨emse-03596379⟩
  • Marc Fischer, Sylvain Martin, Yann Gavet, Loïc Favergeon. Modelling of nucleation – Isotropic surface growth for finite platelet-like particles. Chemical Engineering Science, 2021, 245, pp.116893. ⟨10.1016/j.ces.2021.116893⟩. ⟨emse-03551625⟩
  • Valentin Penaud-Polge, Yann Gavet. Robustness Study of Edge Segmentation and Completion by CNN Based Method for Tessellation Images. ISIVC'2020: The 10th International Symposium on Signal, Image, Video and Communications, Mines Saint-Etienne, Apr 2021, Saint-Etienne, France. pp.9487553, ⟨10.1109/ISIVC49222.2021.9487553⟩. ⟨emse-03284617⟩
  • Thomas Crozier, Yann Gavet. Vector fields color constancy correction within the CoLIP framework. ECSIA'2021 : The 13th European Congress for Stereology and Image Analysis, Mines Saint-Etienne - Institut Mines Telecom (IMT), Jun 2021, Saint-Etienne, France. ⟨emse-03545917⟩