Publications of Etienne Mémin

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Academic Journals

P. Héas, E. Mémin. 3D motion estimation of atmospheric layers from image sequences. IEEE Trans. on Geoscience and Remote Sensing, 46(8):2385-2396, 2008.
D. Heitz, P. Heas, E. Mémin, J. Carlier. Dynamic consistent correlation-variational approach for robust optical flow estimation. Experiments in Fluids, 45(4):595-608, 2008.
N. Papadakis, E. Mémin. A variational technique for time consistent tracking of curves and motion. Journal of Mathematical Imaging and Vision, 31(1):81-103, 2008.
N. Papadakis, E. Mémin. Variational assimilation of fluid motion from image sequences. SIAM Journal on Imaging Science, 1(4):343-363, 2008.
E. Arnaud, E. Mémin. Partial linear Gaussian models for tracking in image sequences using sequential Monte-Carlo methods. International Journal of Computer Vision, 74(1):75-102, 2007.
A. Cuzol, P. Hellier, E. Mémin. A low dimensional fluid motion estimator. International Journal of Computer Vision, 75(3):329-349, 2007.
J. D'Adamo, N. Papadakis, E. Mémin, Artana G.. Variational assimilation of POD low-order dynamical systems. Journal of Turbulence, 8(9):1-22, 2007.
P. Héas, E. Mémin, N. Papadakis, A. Szantai. Layered estimation of atmospheric mesoscale dynamics from satellite imagery. IEEE Trans. Geoscience and Remote Sensing, 45(12):4087-4104, 2007.
J. Yuan, C Schnörr, E. Mémin. Discrete orthogonal decomposition and variational fluid flow estimation. Journal of Mathematical Imaging and Vision, 28(1):67-80, 2007.
Th. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa-Cruz. Fluid experimental flow estimation based on an optical-flow scheme. Int. J. Experiments in Fluid, 40(1):80-97, 2006.
E. Arnaud, E. Mémin, B. Cernuschi-Frias. Conditional filters for image sequence based tracking - Application to point tracking. IEEE Trans. on Image Processing, 14(1):63-79, 2005.
T. Corpetti, E. Mémin, P. Pérez. Extraction of Singular Points from Dense Motion Fields: an Analytic Approach. Journal of Mathematical Imaging and Vision, 19(3):175-198, 2003.
I. Pratikakis, C. Barillot, P. Hellier, E. Mémin. Robust multiscale deformable registration of 3D Ultrasound images. International Journal of Image and Graphics, 3(4):547-566, 2003.
L. Oisel, E. Mémin, L. Morin, F. Galpin. 1D dense disparity estimation for 3D reconstruction. IEEE Trans. on Image Processing, 12(9):1107-1119, September 2003.
T. Corpetti, E. Mémin, P. Pérez. Dense Estimation of Fluid Flows. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(3):365-380, March 2002.
E. Mémin, P. Pérez. Hierarchical estimation and segmentation of dense motion fields. Int. Journal of Computer Vision, 46(2):129-155, February 2002.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Hierarchical estimation of a dense deformation field for 3D robust registration. IEEE Transaction on Medical Imaging, 20(5):388-402, May 2001.
E. Mémin, T. Risset. VLSI design methodoloy for edge-preserving image reconstruction. Real Time Imaging, 7(1):109-126, February 2001.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Estimation robuse 3D d'un champ de déformation pour le recalage non-linéaire inter-sujet d'images cérébrales. Traitement du signal, 17(2):99-112, 2000.
E. Mémin, T. Risset. On the study of VLSI derivation for optical flow estimation. Int. Journal of Pattern Recogition and Artificial Intelligence, 14(4):441-462, June 2000.
E. Mémin, P. Pérez. Optical flow estimation and object-based segmentation with robust techniques. IEEE Trans. on Image Processing, 7(5):703-719, May 1998.
E. Mémin, F. Heitz, F. Charot. Efficient parallel nonlinear multigrid relaxation algorithms for low-level vision applications. Journal of Parallel and Distributed Computing, 29:96-103, 1995.

International Conferences

C. Avenel, E. Memin, P. Perez. Tracking closed curves with non-linear stochastic filters. In Conf. on Scale Space and Variational Methods (SSVM'09), Pages 576-587, Voss, Norway, June 2009.
P. Héas, E. Mémin, D. Heitz. Self-similar regularization of optic-flow for turbulent motion estimation. In Proc. ECCV'08, Int. Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA'08), Pages 1-12, Marseille, France, October 2008.
Th. Corpetti, P. Héas, E. Mémin, N. Papadakis. Variational pressure image assimilation for atmospheric motion estimation. In Proc. Int. Geoscience and Remote Sensing Symp. (IGARSS'08), Volume 2, Pages 505-508, Boston, MA, July 2008.
P. Héas, E. Mémin. Optical-flow for 3D atmospheric motion estimation. In Proc. Int. Conf. on Computer Vision Theory and Applications (VISAPP'08), Volume 2, Pages 399-406, Funchal, Portugal, January 2008.
N. Papadakis, P. Héas, E. Mémin. Image assimilation for motion estimation of atmospheric layers with shallow-water model. In Proc. Asian. Conf. Comp. Vis.(ACCV'07), Pages 864-874, Tokyo, Japan, November 2007.
N. Papadakis, E. Mémin. Variational optimal control technique for the tracking of deformable objects. In Proc. Int. Conf. Comp. Vis.(ICCV'07), Pages 1-7, Rio de Janeiro, Brazil, October 2007.
N. Papadakis, Th. Corpetti, E. Mémin. Dynamically consistent optical flow estimation. In Proc. Int. Conf. Comp. Vis.(ICCV'07), Pages 1-7, Rio de Janeiro, Brazil, October 2007.
P. Héas, K. Krissian, E. Mémin, A. Szantai. Reconstruction and visualization of 3D wind fields from satellite image sequences. In 15th Satellite Meteorology and Oceanography Conf. of the American Meteorological Soc, Pages 1-8, Amsterdam, The Netherlands, September 2007.
P. Héas, N. Papadakis, E. Mémin, A. Szantai. Motion estimation of 2D atmospheric layers from satellite image sequences. In 15th Satellite Meteorology and Oceanography Conf. of the American Meteorological Soc, Pages 1-8, Amsterdam, The Netherlands, September 2007.
N. Papadakis, P. Héas, E. Mémin. Motion estimation of 2D atmospheric layers with variational assimilation techniques. In 15th Satellite Meteorology and Oceanography Conf. of the American Meteorological Soc, Pages 1-8, Amsterdam, The Netherlands, September 2007.
Th. Corpetti, N. Papadakis, E. Mémin. Dense estimation of motion fields on Meteosat Second Generation images using a dynamical consistency. In IEEE Int. Geoscience and Remote Sensing Symp.(IGARSS'07), Pages 4749-4752, Barcelona, Spain, July 2007.
P. Héas, E. Mémin, N. Papadakis. A consistent spatio-temporal motion estimator for atmospheric layers. In Proc. Conf. Scale-Space and Variational Meth. (SSVM'07), Pages 251-263, Ischia, Italy, June 2007.
D. Heitz, P. Héas, V. Navaza, J. Carlier, E. Memin. Spatio-temporal correlation-variational approach for robust optical flow estimation. In Symposium on Particle Image Velocimetry (PIV'07), Pages 1-9, Roma, Italy, June 2007.
N. Papadakis, E. Mémin. A variational framework for spatio-temporal smoothing of fluid motions. In Proc. Conf. Scale-Space and Variational Meth. (SSVM'07), Pages 603-615, Ischia, Italy, June 2007.
N. Papadakis, E. Mémin, Th. Corpetti. Variational estimation of 2D time consistent dense motion from image sequence. In Proc. Eur. Geoscience Union, Nonlinear Processes in Geophysics, Data Assimilation in the Presence of Nonlinearities, Vienna, Austria, April 2007.
R. Sosa, E. Arnaud, E. Mémin, G. Artana. Schlieren image velocimetry applied to EHD flows. In Int. Symposium on Electrohydrodynamics, Pages 1-4, Buenos-Aires, Argentina, 2006.
P. Héas, E. Memin, N. Papadakis. Dense estimation of layer motions in the atmosphere. In Int. Conf. Pattern Recognition (ICPR'06), Volume 3, Pages 1-4, Hong-Kong, China, August 2006.
E. Arnaud, E. Mémin, R. Sosa, G. Artana. A fluid motion estimator for Schlieren imaging velocymetry. In Proc. European Conf. Comp. Vision (ECCV'06), Volume 3951 (LNCS), Pages 198-210, Graz, Austria, May 2006.
A. Szantai, P. Héas, E. Mémin. Comparison of atmospheric motion vectors and dense vector fields calculated from MSG images. In Proc. Int. Winds Workshop, Pages 1-8, Beijing, China, April 2006.
A. Cuzol, E. Mémin. Vortex and source particles for fluid motion estimation. In 5th Int. Conf. on Scale-Space and PDE methods in Computer Vision (Scale-Space'05), Hofgeismar, Germany, Volume 3459, Pages 254-266, Hofgeismar, Germany, 2005.
D. Heitz, J. Carlier, E. Mémin. Fluid dedicated Optical-flow scheme. In Proc. Int. Symp. on Particle Image Velocimetry (PIV'05), 2005.
J. Yuan, P. Ruhnau, E, Schnoerr, C. Mémin. Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. In 5th Int. Conf. on Scale-Space and PDE methods in Computer Vision (Scale-Space'05), Hofgeismar, Germany, Volume 3459, Pages 267-278, Hofgeismar, Germany, 2005.
A. Cuzol, E. Mémin. A stochastic filter for fluid motion tracking. In Proc. Int. Conf. on Computer Vision (ICCV'05), Pages 396-402, Beijing, China, October 2005.
N. Papadakis, E. Mémin, F. Cao. A variational approach for object contour tracking. In Proc. ICCV'05 Workshop on Variational, Geometric and Level Set Methods in Computer Vision, Pages 259-270, Beijing, China, October 2005.
E. Arnaud, E. Mémin. An efficient Rao-Blackwellised particle filter for object tracking. In Proc. Int. Conf. on Image Processing (ICIP'05), Genova, Italy, September 2005.
A. Cuzol, P. Hellier, E. Mémin. A novel parametric method for non-rigid image registration. In Proc. Information Processing in Medical Imaging (IPMI'05), G. Christensen, M. Sonka (eds.), LNCS, Pages 456-467, Glenwood Springes, Colorado, USA, July 2005.
E. Arnaud, B. Fauvet, E. Mémin, P. Bouthemy. A robust and automatic face tracker dedicated to broadcast videos. In Proc. Int. Conf. on Image Processing (ICIP'05), Genova, Italy, 2005.
F. Lauze, P. Kornprobst, E. Mémin. A multiscale approach For linear least square based optical flow estimation. In Proc. British Machine Vision Conference, London, U.-K, September 2004.
E. Arnaud, E. Mémin. Optimal importance sampling for tracking in image sequences:application to point tracking. In European Conference on Computer Vision, ECCV'04, Volume 3023, Pages 302-314, Prague, Czech Republic, May 2004.
E. Arnaud, E. Mémin, B. Cernushi Frias. A robust stochastic filter for point tracking in image sequences. In Asian Conference on Computer Vision (ACCV'04), Jeju Island, Korea, January 2004.
T. Kohlberger, E. Mémin, C. Schnoerr. Variational dense motion estimation using a DIV-CURL higher order regularization. In Int. Symp. on Signal Processing and Its Applications, ISSPA'03, Paris, France, 2003.
T. Corpetti, E. Mémin, A. Santa-Cruz, D. Heitz, G. Arroyo. Optical flow estimation in experimental fluid mechanics. In Seventh Int. Symp. on Signal Processing and its Applications, ISSPA'03, Paris, France, July 2003.
T. Kohlberger, E. Mémin, C. Schnoerr. Variational dense motion estimation using the Helmholtz decomposition. In Scale Space 03, L.D. Griffin, M. Lillholm (eds.), Lecture notes in computer science, Volume 2695, Pages 432-448, Isle of Skye, UK, June 2003. download
T. Corpetti, E. Mémin, P. Pérez. Dense Motion Analysis in Fluid Imagery. In Eur. Conf. on Computer Vision, ECCV'2002, LNCS 2350, Pages 676-691, Copenhagen, Denmark, May 2002.
T. Corpetti, E. Mémin, P. Pérez. Estimating fluid optical flow. In IAPR Int. Conf. on Pattern Recognition, ICPR 2000, Volume 3, Pages 1045-1049, Barcelone, Espagne, September 2000.
T. Corpetti, E. Mémin, P. Pérez. Adaptation of standard optic methods to fluid motion. In Int. Symposium on Flow Visualization, paper 62, Pages 1-10, Edinburgh, Scotland, August 2000.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. An energy-based framework for dense 3D registration of volumetric brain image. In IEEE Conf. Computer Vision and Pattern Recognition, CVPR'2000, Volume II, Pages 270-275, Hilton Head Island, South Carolina, USA, June 2000.
L. Oisel, E. Mémin, L. Morin. Geometric Driven Optical Flow Estimation and Segmentation for 3D Reconstruction. In European Conference on Computer Vision, ECCV 2000, LNCS 1843, Volume 2, Pages 849-863, Dublin, Irlande, June 2000.
C. Papin, P. Bouthemy, E. Mémin, G. Rochard. Tracking and Characterization of Highly Deformable Cloud Structures. In European Conference on Computer Vision, ECCV 2000, LNCS 1843, Volume 2, Pages 428-442, Dublin, Irlande, June 2000.
A. Szantai, F. Desalmand, M. Desbois, P. Lecomte, E. Mémin, S. Zimeras. Tracking low-level clouds over Central Africa on Meteosat image. In 2000 EUMETSAT Meteorological Satellite Data Users' Conference, Pages 813-820, Bologna, Italy, May 2000.
E. Mémin, P. Pérez. Dense/parametric estimation of fluid flows. In IEEE Int. Conf. on Image Processing, ICIP'99, Kobe, Japan, October 1999.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Medical image registration with robust multigrid techniques. In Proc. of the 2nd Int. Conf. on Medical Image Computing and Computer-Assisted Intervention, MICCAI, C. Taylor, A. Colchester (eds.), Lecture Notes in Computer Science, Volume 1679, Pages 680-687, September 1999.
E. Mémin, P. Pérez. Fluid motion recovery by coupling dense and parametric fields. In IEEE Int. Conf. on Computer Vision, ICCV'99, Volume 1, Pages 620-625, Kerkira, Greece, September 1999.
C. Papin, P. Bouthemy, E. Mémin, G. Rochard. Tracking and characterization of convective clouds from satellite images. In 1999 Eumetsat Meteorological Satellite Data User's Conference, Copenhague, Danemark, September 1999.
L. Oisel, L. Morin, E. Mémin, C. Labit. Planar facets segmentation using a multiresolution dense disparity field estimation. In Int. Conf. on Image Processing (ICIP'98), Volume 2, Pages 617-621, Chicago, Illinois, October 1998.
E. Mémin, P. Pérez. Joint estimation-segmentation of optic flow. In Proc. of the 5th European Conf. on Computer Vision, ECCV'98, Volume 2, Pages 563-580, Freiburg, Germany, June 1998.
E. Mémin, P. Pérez. A multigrid approach to hierarchical motion estimation. In Proc. Int. Conf. on Computer Vision, ICCV'98, Pages 933-938, Bombay, India, January 1998.
L. Oisel, E. Mémin, L. Morin, C. Labit. Epipolar constrained motion estimation for reconstruction from video sequences. In Spie Conf. on Visual Communications and Image Processing, VCIP, Volume 3309, San-Jose, California, January 1998.
P. Piscaglia, B. Macq, E. Mémin, P. Pérez, L. Labit. Parallelized robust multiresollution motion estimation. In Proc. 3rd IEEE Int. Conf. Image Processing, Lausanne, Switzerland, September 1996.
E. Mémin, P. Pérez. Robust discontinuity-preserving model for estimating optical flow. In Proc. 13th Int. Conf. Pattern Recognition, ICPR96, Vienna, Austria, August 1996.
E. Mémin, F. Heitz, F. Charot. Efficient parallel multigrid relaxation algorithms for MRF-based low level vision applications. In IEEE Conf. Computer Vision and Pattern Recognition, Seattle, Washington, June 1994.
E. Mémin, F. Charot, F. Heitz. Parallel architecture for multiscale Markov Random Field-based image analysis. In Computer Architecture for Machine Perception (CAMP'91), B. Zavidovique, P.L. Wendel (eds.), Pages 309-320, Paris, France, December 1991.
F. Heitz, E. Mémin, P. Bouthemy. Markov Random Fields and Parallel Algorithms for 2D Motion Analysis. In Imacs World Congress on Computation and Applied Mathematics, Dublin, Eire, January 1991.

National Conferences

N. Papadakis, E. Mémin. Estimation variationnelle et cohérente en temps de mouvements fluides. In Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'08), Pages 1-8, Amiens, January 2008.
D. Heitz, P. Héas, V. Navaza, J. Carlier, E. Memin. Collaboration corrélation-variationnelle pour une estimation robuste du flot-optique. In 18ème Congrès Français de Mécanique (CFM), Pages 1-7, Grenoble, June 2007.
N. Papadakis, E. Mémin, J. D'adamo, G. Artana. Assimilation variationelle de systèmes dynamiques d'ordre faible. In 3e Congrès national de mathématiques appliquées et industrielles (SMAI 2007), Grenoble, France, June 2007.
N. Papadakis, A. Cuzol, E. Mémin. Suivi du mouvement fluide: approche stochastique et variationnelle. In Proc. Journées AUM/AFM, Pages 117-122, La Rochelle, September 2006.
A. Cuzol, E. Mémin. Suivi de mouvement fluide par filtrage stochastique. In Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Pages 1-8, Tours, January 2006.
N. Papadakis, E. Mémin. Une approche variationelle pour le suivi de contours. In Proc. Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA'06), Pages 1-8, Tours, January 2006.
C. Tilmant, L. Sarry, Th. Corpetti, P. Motrefi, E. Geoffroy, J.-R. Lusson, E. Mémin, J.-Y. Boire. Suivi d'objets pour l'analyse du mouvement en imagerie ultrasonore. In Congrès Jeunes Chercheurs en Vision par Ordinateur (ORASIS'05), Fournols, France, May 2005.
E. Arnaud, E. Mémin, B. Cernushi Frias. Filtrage conditionnel pour la trajectographie dans des séquences d'images - Application au suivi de points. In 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle (RFIA'04), Toulouse, France, January 2004.
T. Corpetti, E. Mémin, P. Pérez. Régularisation Div-Curl et Équation de Continuité pour l'Estimation du Mouvement Fluide. In 13ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, RFIA 2002, Volume 3, Pages 887-898, Angers, France, January 2002.
T. Corpetti, E. Mémin, P. Pérez. Estimation de mouvement fluide basée sur l'équation de continuité associée à une régularisation Div-Curl. In Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, ORASIS'2001, Pages 481-490, Cahors, June 2001.
T. Corpetti, E. Mémin, P. Pérez. Estimation dense du mouvement en imagerie fluide. In 9ème colloque francophone de visualisation et de traitement d'images en mécanique des fluides, FLUVISU'2001, Rouen, June 2001.
C. Papin, P. Bouthemy, E. Mémin. Suivi de l'activité convective de cellules nuageuses dans des séquences d'images satellitaires. In 12ème Congrès Reconnaissance des Formes et Intelligence Artificielle, RFIA'2000, Volume 1, Pages 369-378, Paris, February 2000.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Recalage d'images cérébrales par estimation robuste contextuelle du flot optique. In 17eme Colloque Gretsi sur le traitement du signal et des images, Volume 4, Pages 1077-1080, Vannes, September 1999.
E. Mémin, P. Pérez. Estimation conjointe de champs de vitesse denses et paramétriques pour des écoulement fluides. In 17eme Colloque Gretsi sur le traitement du signal et des images, Volume 2, Pages 247-250, Vannes, September 1999.
L. Oisel, L. Morin, E. Mémin, C. Labit. Reconstruction 3D de scènes complexes par maillage de cartes de disparité. In 17eme Colloque Gretsi sur le traitement du signal et des images, Volume 2, Pages 391-394, Vannes, September 1999.
E. Mémin, P. Pérez. Champ de Markov multirésolution et algorithme multigrille pour l'estimation du mouvement. In Proc. 15ème Colloque GRETSI, Juan-les-Pins, France, September 1995.
E. Mémin, F. Heitz, F. Charot. Algorithmes parallèles pour les champs markoviens multiechelles: spécification et mise en oeuvre sur une architecture SIMD. In 14ieme congrès Gretsi, Juan-les-Pins, France, September 1993.
E. Mémin, F. Heitz. Parallélisation des algorithmes d'analyse d'images par champs markoviens dans un contexte pyramidal. In 13ème congrès Gretsi, Juan-les-Pins, France, September 1991.

Research Reports

P. Héas, N. Papadakis, E. Mémin. Time-consistent estimators of 2D/3D motion of atmospheric layers from pressure images. Research Report INRIA, No 6292, September 2007.
N. Papadakis, E. Mémin. A variational method for joint tracking of curve and motion. Research Report INRIA, No 6283, September 2007.
N. Jain, E. Mémin, C. Pérez. Parallelization of Dense Fluid Motion Estimation Application using OpenMP. Research Report IRISA, No 1483, September 2002.
T. Corpetti, E. Mémin, P. Pérez. Dense fluid flow estimation. Research Report IRISA, No 1352, September 2000.
F. Dealmand, M. Desbois, P. Leconte, A. Szantai, E. Mémin, P. Pérez, S. Zimeras. Calculation of low level winds over land. convention Rapport intermédiaire de la convention IRISA-EUMETSAT, February 2000.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Estimation robuste 3D d'un champ de déformation pour le recalage non-linéaire inter-sujet d'images cérébrales. Research Report IRISA, No 1281, November 1999.
E. Mémin, T. Risset. Hardware driven considerations for energy based applications. Research Report IRISA, No 1220, April 1999.
E. Mémin, P. Pérez. Semi-parametric estimation and segmentation of optic flow. Research Report Irisa, No 1197, July 1998.
E. Mémin, P. Pérez. Adaptative multigrid and variable parameterization for optical-flow estimation. Research Report IRISA, No 1057, October 1996.
E. Mémin, P. Pérez, D. Machecourt. Dense estimation and object-based segmentation of the optical flow with robust techniques. Research Report IRISA, No 991, March 1996.
E. Mémin, F. Heitz, F. Charot. Efficient parallel non-linear multigrid relaxation algorithms for low-level vision applications. Rapport de Recherche IRISA, No 790, April 1994.

Misc

E. Arnaud, E. Mémin, B. Cernushi Frias. Filtrage conditionnel pour le suivi de points dans des séquences d'images. Congrès Francophone de Vision par Ordinateur, ORASIS'03, pp. 211-220, Gerardmer, France, May 2003.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. RoMEO : Robust Multilevel Elastic registration based on Optical flow. 2001.
P. Hellier, C. Barillot, E. Mémin, P. Pérez. Recalage d'images cérébrales par estimation robuste contextuelle du flot optique. ORASIS'99, Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, pp. 85-91, Aussois, France, April 1999.
C. Papin, P. Bouthemy, E. Mémin, G. Rochard. Détection, suivi et caractérisation des nuages convectifs à partir d'images satellitaires. ORASIS'99, Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, pp. 51-60, Aussois, France, April 1999.

Thesis

E. Mémin. Estimation du flot optique : contribution et panorama de différentes approches. Habilitation à diriger des recherches Université de Rennes 1, July 2003.
E. Mémin. Algorithmes et architectures parallèles pour les approches markoviennes en ananlyse d'images. PhD Thesis Université de Rennes 1, Informatique, June 1993.

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