World's Best Scientists 2026 revealed!
Olivier Faugeras

Olivier Faugeras

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Computer Science
France
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
52467
World Ranking
362
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in France Leader Award
  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Olivier Faugeras is affiliated with Université Côte d'Azur in France. Their research spans multiple fields including Neuroscience and Computer Science, with particular focus on subfields such as Cognitive Neuroscience, Computer Networks and Communications, Artificial Intelligence, and Statistical and Nonlinear Physics.

Their main topics of work cover several areas involving neural and computational processes. These topics include:

  • Neural dynamics and brain function
  • Nonlinear Dynamics and Pattern Formation
  • Visual perception and processing mechanisms
  • Neural Networks and Applications
  • Chaos control and synchronization

Olivier Faugeras has published research in various scholarly venues. Frequent publication locations include:

  • Comptes Rendus Mathématique
  • HAL (Le Centre pour la Communication Scientifique Directe)
  • arXiv (Cornell University)
  • Journal of Mathematical Biology

Recent papers authored by Olivier Faugeras demonstrate their focus on mathematical and computational models within neuroscience. Notable publications are:

  • Universality of the mean-field equations of networks of Hopfield-like neurons, 2025, Journal of Mathematical Biology
  • Spatial and color hallucinations in a mathematical model of primary visual cortex, 2022, Comptes Rendus Mathématique
  • Spatial and color hallucinations in a mathematical model of primary visual cortex, 2021, HAL (Le Centre pour la Communication Scientifique Directe)
  • Asymptotic behavior of a network of neurons with random linear interactions, 2020, arXiv (Cornell University)

Collaborations are a component of Faugeras' research activities. Frequent co-authors include:

  • Romain Veltz
  • Étienne Tanré
  • Anna Song
  • Anna V. Song
  • Émilie Soret

The combination of neuroscience and computational methods in Faugeras' work reflects a multidisciplinary approach towards understanding brain function, neural networks, and visual processing through mathematical modeling and analysis.

Best Publications

  • Three-dimensional computer vision: a geometric viewpoint

    Olivier Faugeras

  • A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry

    Zhengyou Zhang;Rachid Deriche;Olivier Faugeras;Quang-Tuan Luong

  • Statistical shape influence in geodesic active contours

    M.E. Leventon;W.E.L. Grimson;O. Faugeras

  • Three-Dimensional Computer Vision

    Olivier Faugeras

  • Camera Self-Calibration: Theory and Experiments

    Olivier D. Faugeras;Quang-Tuan Luong;Stephen J. Maybank

  • The Geometry of Multiple Images: The Laws That Govern the Formation of Multiple Images of a Scene and Some of Their Applications

    Olivier Faugeras;Quang-Tuan Luong;T. Papadopoulou

  • Statistical shape influence in geodesic active contours

    M.E. Leventon;W.E.L. Grimson;O. Faugeras

  • A theory of self-calibration of a moving camera

    Stephen J. Maybank;Olivier D. Faugeras

  • What can be seen in three dimensions with an uncalibrated stereo rig

    Olivier D. Faugeras

  • The representation, recognition, and locating of 3-d objects

    O D Faugeras;M Hebert

  • The Fundamental Matrix: Theory, Algorithms, and Stability Analysis

    Quang-Tuan Luong;Olivier D. Faugeras

  • Straight lines have to be straight: automatic calibration and removal of distortion from scenes of structured enviroments

    Frédréric Devernay;Olivier Faugeras

  • HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects

    Nicholas Ayache;Olivier D. Faugeras

  • Maintaining representations of the environment of a mobile robot

    N. Ayache;O. D. Faugeras

  • MOTION AND STRUCTURE FROM MOTION IN A PIECEWISE PLANAR ENVIRONMENT

    Olivier D. Faugeras;Francis Lustman

  • Variational principles, surface evolution, PDE's, level set methods and the stereo problem

    O. Faugeras;R. Keriven

  • Real time correlation-based stereo: algorithm, implementations and applications

    Olivier Faugeras;Bernard Hotz;Hervé Mathieu;Thierry Viéville

  • Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices

    Q.-T. Luong;O. D. Faugeras

  • Variational principles, surface evolution, PDEs, level set methods, and the stereo problem

    O. Faugeras;R. Keriven

  • Tracking line segments

    Rachid Deriche;Olivier Faugeras

  • Handbook of Mathematical Models in Computer Vision

    Nikos Paragios;Yunmei Chen;Olivier D. Faugeras

Frequent Co-Authors

Zhengyou Zhang
Zhengyou Zhang Tencent (China)
Rachid Deriche
Rachid Deriche French Institute for Research in Computer Science and Automation - INRIA
Renaud Keriven
Renaud Keriven Université Paris Cité
Nicholas Ayache
Nicholas Ayache French Institute for Research in Computer Science and Automation - INRIA
Guillaume S. Masson
Guillaume S. Masson Aix-Marseille University
Bertrand Thirion
Bertrand Thirion University of Paris-Saclay
Ron Kikinis
Ron Kikinis Brigham and Women's Hospital
Nassir Navab
Nassir Navab Technical University of Munich
Carl-Fredrik Westin
Carl-Fredrik Westin Brigham and Women's Hospital

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