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FLUMINANCE

Publications of Etienne Mémin

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Academic Journals

  1. E. Mémin. Fluid flow dynamics under location uncertainty. Geophysical & Astrophysical Fluid Dynamics, in press, 2014. details Hal : Hyper Archive en ligne pdf
  2. A. Gronskis, D. Heitz, E. Mémin. Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. Journ. Comp. Phys, 242(6):480-497, 2013. details Hal : Hyper Archive en ligne pdf
  3. A. Cammilleri, F. Gueniat, J. Carlier, L. Pastur, E. Mémin, F. Lusseyran, G. Artana. POD-Spectral Decomposition for Fluid Flow Analysis and Model Reduction. Theor. and Comp. Fluid Dyn, 27:787-815, 2013. details Hal : Hyper Archive en ligne doi pdf
  4. P. Héas, C. Herzet, E. Mémin, D. Heitz, P.D. Mininni. Bayesian estimation of turbulent motion. IEEE transactions on Pattern Analysis And Machine Learning, 35(6):1343-1356, 2013. details Hal : Hyper Archive en ligne pdf
  5. C. Avenel, E. Mémin, P. Pérez. Stochastic level set dynamics to track closed curves through image data. Journ of Math. Imaging and Vision, September 2013. details Hal : Hyper Archive en ligne doi pdf
  6. S. Kadri Harouna, P. Dérian, P. Héas, E. Mémin. Divergence-free Wavelets and High Order Regularization. International Journal of Computer Vision, 103(1):80-99, May 2013. details Hal : Hyper Archive en ligne pdf
  7. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelets and Optical Flow Motion Estimation. Numerical Mathematics: Theory, Methods and Applications, 6(1):116-137, January 2013. details Hal : Hyper Archive en ligne pdf
  8. S. Beyou, T. Corpetti, S. Gorthi, E. Mémin. Fluid flow estimation with multiscale ensemble filters based on motion measurements under location uncertainty. Numerical Mathematics: Theory, Methods and Applications, 6(1):21-46, January 2013. details Hal : Hyper Archive en ligne
  9. S. Beyou, A. Cuzol, S. Gorthi, E. Mémin. Weighted Ensemble Transform Kalman Filter for Image Assimilation. Tellus A, 65(18803), January 2013. details doi
  10. P. Héas, E. Mémin, D. Heitz, P. Mininni. Power laws and inverse motion modeling: application to turbulence measurements from satellite images. Tellus Series A: Dynamic Meteorology and Oceanography, 64(10962), 2012. details doi pdf
  11. P. Héas, C. Herzet, E. Mémin. Bayesian inference of models and hyper-parameters for robust optic-flow estimation. IEEE Trans on Image processing, 21(4):1437-1451, 2012. details pdf
  12. G. Artana, A. Cammilleri, J. Carlier, E. Mémin. Strong and weak constraint variational assimilation for reduced order fluid flow modeling. Journ. of Comp. Physics, 213(8):3264-3288, April 2012. details Hal : Hyper Archive en ligne pdf
  13. T. Corpetti, E. Mémin. Stochastic uncertainty models for the luminance consistency assumption. IEEE Transaction on Image Processing, 21(2):481-493, January 2012. details Hal : Hyper Archive en ligne doi pdf
  14. D. Heitz, E. Mémin, C. Schnörr. Variational fluid flow measurements from image sequences: synopsis and perspectives. Exp. Fluids, 48(3):369-393, 2010. details pdf
  15. N. Papadakis, E. Mémin, A. Cuzol, N. Gengembre. Data assimilation with the Weighted Ensemble Kalman Filter. Tellus-A, 62(5):673-697, 2010. details pdf
  16. C. Thomas, T. Corpetti, E. Mémin. Data assimilation for convective cells tracking on meteorological image sequences. IEEE Trans. on Geoscience and Remote sensing, 2010. details pdf
  17. T. Corpetti, P. Héas, E. Mémin, N. Papadakis. Pressure image assimilation for atmospheric motion estimation. Tellus Series A: Dynamic Meteorology and Oceanography, 61(1):160-178, 2009. details pdf
  18. R. Sosa, E. Arnaud, E. Mémin, G. Artana. Study of the Flow Induced by a Sliding Discharge. IEEE Trans. on Dielectrics and Electrical Insulation, 16:305-311, 2009. details pdf
  19. A. Cuzol, E. Mémin. A stochastic filtering technique for fluid flows velocity fields tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 31(7):1278-1293, 2009. details pdf
  20. D. Heitz, P. Héas, E. Mémin, J. Carlier. Dynamic consistent correlation-variational approach for robust optical flow estimation. Exp. Fluids, 45(4):595-608, 2008. details doi pdf
  21. 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. details pdf
  22. N. Papadakis, E. Mémin. Variational assimilation of fluid motion from image sequences. SIAM Journal on Imaging Science, 1(4):343-363, 2008. details pdf
  23. 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. details pdf
  24. 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. details pdf
  25. A. Cuzol, P. Hellier, E. Mémin. A low dimensional fluid motion estimator. International Journal of Computer Vision, 75(3):329-349, 2007. details pdf
  26. J. D'Adamo, N. Papadakis, E. Mémin, G. Artana. Variational assimilation of POD low-order dynamical systems. Journal of Turbulence, 8(9):1-22, 2007. details
  27. 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. details pdf
  28. 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. details pdf
  29. T. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa Cruz. Fluid experimental flow estimation based on an optical-flow scheme. Exp. Fluids, 40(1):80-97, 2006. details pdf
  30. 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. details pdf
  31. 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. details pdf
  32. 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. details pdf
  33. 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. details pdf
  34. 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. details pdf
  35. E. Mémin, P. Pérez. Hierarchical estimation and segmentation of dense motion fields. Int. Journal of Computer Vision, 46(2):129-155, February 2002. details pdf
  36. 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. details pdf
  37. E. Mémin, T. Risset. VLSI design methodoloy for edge-preserving image reconstruction. Real Time Imaging, 7(1):109-126, February 2001. details pdf
  38. 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. details pdf
  39. 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. details pdf
  40. 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. details pdf

Academic Journals (National audience)

  1. T. Corpetti, V. Dubreuil, E. Mémin, O. Planchon, C. Thomas. Outils méthodologiques l'analyse d'images MSG : estimation du mouvement, suivi de masses nuageuses et détection de fronts. Revue Française de Photogrammétrie et de Télédétection, 2014. details
  2. A. Cuzol, J-L. Marchand, E. Mémin. Image data assimilation with filtering methods. Journal de la Société Française de Statistique, 2014. details
  3. P. Héas, D. Heitz, E. Mémin. La turbulence par l'image. La Recherche, 444, September 2010. details pdf
  4. 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. details

Book Chapters

  1. E. Mémin, P. Pérez. Motion estimation and visual tracking. In Inverse problems in vision and 3D tomography, A. Mohammad-Djafari (ed.), Chap. 6, pp. 191-249, Digital signal and image processing, Wiley, December 2009. details ppt
  2. E. Mémin, P. Pérez. Estimation de mouvement apparent et suivi visuel. In Problèmes Inverses en Imagerie et en Vision, A. Mohammad-Djafari (ed.), Vol. 1, Chap. 6, pp. 201-252, Traité IC2, Hermès, September 2009. details

International Conferences

  1. S. Kadri Harouna, E. Mémin. Navier-Stokes simulation with f location uncertainty. In 8th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-8, Poitiers, France, August 2013. details
  2. I. Barbu, C. Herzet, C, E. Mémin. Joint Estimation of Volume and Velocity in TomoPIV. In 10TH INTERNATIONAL SYMPOSIUM ON PARTICLE IMAGE VELOCIMETRY - PIV13, Delft, The Netherlands, July 2013. details Hal : Hyper Archive en ligne pdf
  3. A. Gronskis, C. Robinson, D. Heitz, E. Mémin. A 4DVar PIV-data assimilation for flow spatio-temporal reconstruction. In 10TH INTERNATIONAL SYMPOSIUM ON PARTICLE IMAGE VELOCIMETRY - PIV13, Delft, The Netherlands, July 2013. details
  4. S. D. Mayor, P. Dérian, C. F. Mauzey, T. Henry, E. Mémin, M. Hamada, D. Scott. Two-component wind fields from scanning aerosol lidar and motion estimation algorithms. In WindPower 2013, Chicago IL, May 2013. details
  5. S. Gorthi, S. Beyou, E. Mémin. Analysis of SST Images by Weighted Ensemble Transform Kalman Filter. In IEEE Int. Geoscience and Remote sensing symposium (IGARSS'11), 2011. details
  6. S. Gorthi, S. Beyou, T. Corpetti, E. Mémin. Multiscale Weighted Ensemble Kalman Filter for Fluid Flow Estimation. In Scale Space Methods and Variational Methods (SSVM) in Computer Vision, 2011. details
  7. T. Corpetti, E. Mémin. Stochastic models for local optical flow estimation. In Scale Space and Variational Methods in Computer Vision, SSVM'11, 2011. details
  8. B. Combès, A. Guibert, E. Mémin, D. Heitz. Free-surface flows from Kinect: feasability and limits. In FVR2011, Poitiers, France, December 2011. details pdf
  9. I. Barbu, C. Herzet, E. Mémin. Sparse models and pursuit algorithms for PIV Tomography. In Forum on recent developments in Volume Reconstruction techniques applied to 3D fluid and solid mechanics, Poitiers, France, November 2011. details Hal : Hyper Archive en ligne pdf
  10. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelets to reconstruct turbulence multifractals from experimental image sequences. In 7th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-7, Ottawa, Canada, July 2011. details pdf
  11. A. Gronskis, D. Heitz, E. Mémin. Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation. In 7th Int. Symp. on Turbulence and Shear Flow Phenomena, TSFP-7, Ottawa, Canada, July 2011. details pdf
  12. P. Héas, C. Herzet, E. Mémin. Robust optic-flow estimation with Bayesian inference of model and hyper-parameters. In Proc. Conf. Scale-Space and Variational Meth. (SSVM'11), Israel, June 2011. details pdf
  13. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelet-based fluid motion estimation. In Scale Space Methods and Variational Methods (SSVM) in Computer Vision, Israel, June 2011. details pdf
  14. C. Avenel, E. Mémin, P. Pérez. Stochastic filtering of level sets for curve tracking. In International Conference on Pattern Recognition (ICPR'10), Istanbul, Turkey, 2010. details
  15. P. Dérian, P. Héas, E. Mémin, S. Mayor. Dense motion estimation from eye-safe aerosol lidar data. In International Laser Radar Conference, ILRC, St Petersbourg, Russia, 2010. details pdf
  16. S.D. Mayor, C. Chico, P. Dérian, P. Héas, E. Mémin. Two-component horizontal motion vectors from scanning eye-safe aerosol lidar. In 19th Symposium on Boundary Layers and Turbulence, Poster presentation, Keystone, USA, August 2010. details pdf
  17. C. Avenel, E. Mémin, P. Pérez. Tracking levels representation driven by a stochastic dynamics. In 7th International Conference on Curves and Surfaces, Poster presentation, Avignon, France, June 2010. details
  18. P. Héas, D. Heitz, E. Mémin. Evidence of turbulence power laws from image data. In International Conference and Advanced School "Turbulent Mixing and Beyond", The Abdus Salam International Centre for Theoretical Physics, Trieste, Italy, 2009. details
  19. C. Thomas, T. Corpetti, E. Mémin. Data Assimilation for Convective Cells Tracking in MSG images. In IEEE Int. Geoscience and Remote Sensing Symp, IGARSS '09, Cape Town, South Africa, 2009. details
  20. P. Héas, E. Mémin, D. Heitz, P.D. Mininni. Bayesian selection of scaling laws for motion modeling in images. In International Conference on Computer Vision (ICCV'09), Kyoto, Japan, October 2009. details Hal : Hyper Archive en ligne pdf
  21. P. Héas, D. Heitz, E. Mémin. Multiscale regularization based on turbulent kinetic energy decay for PIV estimations with high spatial resolution. In 8th Int. Symposium on Particle Image Velocimetry (PIV09), Melbourne, Australia, August 2009. details pdf
  22. P. Héas, E. Mémin. Inference on Gibbs optic flow prior : application to atmospheric turbulence. In Proc. Conf. IEEE International geoscience and remote sensing symposium (IGARSS'09), Cap Town, South Africa, July 2009. details pdf
  23. C. Avenel, E. Mémin, P. Pérez. Tracking closed curves with non-linear stochastic filters. In Conf. on Scale Space and Variational Methods (SSVM'09), Voss, Norway, June 2009. details pdf
  24. 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, Marseille, France, 2008. details pdf
  25. T. 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. details
  26. 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. details
  27. 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), Tokyo, Japan, November 2007. details pdf
  28. 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. details pdf
  29. N. Papadakis, T. 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. details pdf
  30. 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. details pdf
  31. 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. details
  32. D. Heitz, P. Héas, V. Navaza, J. Carlier, E. Mémin. Spatio-temporal correlation-variational approach for robust optical flow estimation. In Symposium on Particle Image Velocimetry (PIV'07), Pages 1-9, Roma, Italy, September 2007. details pdf
  33. 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. details
  34. T. 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. details
  35. 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. details pdf
  36. 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. details pdf
  37. N. Papadakis, E. Mémin, T. 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. details
  38. 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. details
  39. P. Héas, E. Mémin, N. Papadakis. Dense estimation of layer motions in the atmosphere. In Int. Conf. Pattern Recognition (ICPR'06), Volume 3, Hong-Kong, China, August 2006. details pdf
  40. 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. details pdf
  41. A. Szantai, P. Héas, E. Mémin. Comparison of atmospheric motion vectors and dense vector fields calculated from MSG images. In Proc. Int. Winds Workshop, Beijing, China, April 2006. details
  42. 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. details
  43. 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. details
  44. J. Yuan, P. Ruhnau, E. Mémin, C. Schnörr. 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. details
  45. 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. details pdf
  46. 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. details
  47. 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. details
  48. D. Heitz, J. Carlier, E. Mémin. Fluid dedicated Optical-flow scheme. In PIVChallenge 05, Pasadena, USA, September 2005. details
  49. 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. details
  50. T. Corpetti, D. Heitz, G. Arroyo, E. Mémin, A. Santa Cruz. Estimation of motion using a PIV correlation-based method and an optical-flow one for two experimental flows: quantitative and qulitative comparison. In 12th International symposium Applications of laser techniques to fluid mechanics, Lisbon, Portugal, 2004. details
  51. F. Lauze, P. Kornprobst, E. Mémin. A coarse to fine multiscale approach For linear least square based optical flow estimation. In Proc. British Machine Vision Conference, London, U.-K, September 2004. details pdf
  52. 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. details pdf
  53. 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. details
  54. T. Kohlberger, E. Mémin, C. Schnörr. 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. details
  55. 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. details
  56. T. Kohlberger, E. Mémin, C. Schnörr. 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. details
  57. 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. details pdf
  58. 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. details
  59. 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. details
  60. 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. details pdf
  61. 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, Irland, June 2000. details
  62. 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, Irland, June 2000. details
  63. 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. details
  64. E. Mémin, P. Pérez. Dense/parametric estimation of fluid flows. In IEEE Int. Conf. on Image Processing, ICIP'99, Kobe, Japan, October 1999. details
  65. 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. details download
  66. 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. details pdf
  67. 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. details pdf
  68. 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. details
  69. 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. details pdf
  70. 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. details pdf
  71. 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. details
  72. 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. details
  73. E. Mémin, P. Pérez. Robust discontinuity-preserving model for estimating optical flow. In Proc. 13th Int. Conf. Pattern Recognition, ICPR96, Vienna, Austria, August 1996. details
  74. 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. details
  75. 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. details
  76. 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, Ireland, January 1991. details

Invited Conferences

  1. E. Mémin. Fluid dynamics under uncertainty. In Labex CIMI - Trimestre EDP & Probabilités, Toulouse, France, January 2014. details
  2. E. Mémin. Fluid flow analysis from image sequences. In Labex CIMI - Trimestre EDP & Probabilités, Toulouse, France, January 2014. details
  3. E. Mémin. Fluid dynamics under uncertainty. In workshop "2D to 3D Ocean Dynamics from Space" Ifremer, Brest, France, 2013. details
  4. E. Mémin. Assimilation d'images satellites océaniques: filtrage stochastique et définition de dynamiques adaptées. In Colloque Gretsi de traitment du signal et des images, Brest, France, 2013. details
  5. E. Mémin. Fluid flow velocity measurements from image sequences. In 51st AIAA Aerospace Sciences Meeting, 2013. details
  6. E. Mémin. In Seminar LFD-FIUBA, Buenos Aires, Argentina, November 2012. details
  7. E. Mémin. In Workshop on Tolopology in Fluid flow visualization, Pisa, Italy, June 2012. details
  8. E. Mémin. In "Conf'luences" IMFT, Toulouse, France, April 2012. details
  9. E. Mémin. Filtrage particulaire pour l'analyse d'écoulements à partir de séquence d'images. In Journée thématique LEFE "Assimilation et incertitudes", ENS Paris, Paris, France, February 2012. details
  10. R. Tatsambon Fomena, C. Collewet, E. Mémin. A New approach for Fluid Flows control. In Symposium on Advances in Control of Fluid Dynamics and Challenges facing the US Defense Department's thrust on Unmanned Autonomous Systems for the SIAM Conference on Control and Its Applications, Baltimore, USA, July 2011. details Hal : Hyper Archive en ligne
  11. E. Mémin. In Séminaire LIMSI Analyse d'écoulements fluides à partir d'images, Paris, France, May 2011. details
  12. E. Mémin. In Séminaire Météo-France Filtrage et assimilation de données images, Toulouse, France, May 2010. details
  13. E. Mémin. Analyse d'écoulements fluides à partir d'images. In Séminaire ENSPS Strasbourg, Strasbourg, France, February 2010. details
  14. E. Mémin. Méthodes variationnelles pour l'analyse d'écoulements fluides à partir d'images. In Séminaire en l'honneur de F.-X. Le Dimet, Grenoble, France, March 2009. details

National Conferences

  1. I. Barbu, C. Herzet, C, E. Mémin. Estimation 3D jointe des volumes et des vitesses pour la Tomographie PIV. In 15ème Congres Français de Visualisation et de Traitement d'Images en Mécanique des Fluides, Orléans, France, November 2013. details Hal : Hyper Archive en ligne pdf
  2. S. Beyou, A. Cuzol, S. Gorthi, E. Mémin. Assimilation de température de surface par filtre de Kalman de transformation d'ensemble pondéré. In XXIII colloque GRETSI, 2011. details
  3. D. Heitz, P. Héas, E. Mémin. Apport des modèles de lois de puissance pour l'estimation du mouvement turbulent en PIV. In 20ème congrès français de mécanique, Besançon, France, 2011. details pdf
  4. I. Barbu, C. Herzet, E. Mémin. Représentation et algorithmes parcimonieux pour la Tomographie PIV. In 14ème Congres Français de Visualisation et de Traitement d'Images en Mécanique des Fluides, Lille, France, November 2011. details Hal : Hyper Archive en ligne pdf
  5. V. Souchaud, C. Herzet, E. Mémin. Construction d'une base de type POD à partir d'une séquence d'images. In GRETSI, Bordeaux, France, September 2011. details pdf
  6. J. Carlier, N. Papadakis, E Mémin. Assimilation variationnelle de données dans un système dynamique d'ordre réduit. In 19ème Congrès Français de Mécanique, Marseille, France, 2009. details pdf
  7. 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. details
  8. D. Heitz, P. Héas, V. Navaza, J. Carlier, E. Mémin. Collaboration corrélation-variationnelle pour une estimation robuste du flot-optique. In 18ème Congrès Français de Mécanique (CFM), Pages 1-7, Grenoble, August 2007. details pdf
  9. 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. details
  10. 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. details
  11. 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. details
  12. 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. details
  13. D. Heitz, T. Corpetti, J. Carlier, G. Arroyo, E. Mémin. Évaluation d'un estimateur de flot optique dédié aux écoulements. In 11ème Congrès de Visualisation et de Traitement d'Images en Mécanique des Fluides - FLUVISU 11, Ecully, France, June 2005. details pdf
  14. 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. details
  15. 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. details
  16. 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. details
  17. 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. details
  18. 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. details
  19. 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. details
  20. 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. details
  21. 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. details
  22. E. Mémin, F. Heitz, F. Charot. Algorithmes parallèles pour les champs markoviens multiéchelles: spécification et mise en oeuvre sur une architecture SIMD. In 14ème congrès Gretsi, Juan-les-Pins, France, September 1993. details
  23. 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. details

Research Reports

  1. P. Dérian, P. Héas, C. Herzet, E. Mémin. Wavelet Expansion and High-order Regularization for Multiscale Fluid-motion Estimation. Research Report INRIA, No 7348, 2010. details pdf
  2. P. Héas, E. Mémin, D. Heitz, P.D. Mininni. Turbulence power laws and inverse motion modeling in images. Research Report INRIA, 2009. details pdf
  3. T. Corpetti, P. Héas, E. Mémin, N. Papadakis. Pressure image assimilation for atmospheric motion estimation. Research Report INRIA, 2008. details pdf
  4. 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. details pdf
  5. N. Papadakis, E. Mémin. A variational method for joint tracking of curve and motion. Research Report INRIA, No 6283, September 2007. details pdf
  6. N. Jain, E. Mémin, C. Pérez. Parallelization of Dense Fluid Motion Estimation Application using OpenMP. Research Report INRIA, No 4556, September 2002. details pdf
  7. T. Corpetti, E. Mémin, P. Pérez. Dense fluid flow estimation. Research Report INRIA, No 4009, September 2000. details pdf
  8. 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 INRIA, No 3812, November 1999. details pdf
  9. E. Mémin, T. Risset. Hardware driven considerations for energy based applications. Research Report IRISA, No 1220, April 1999. details pdf
  10. E. Mémin, P. Pérez. Semi-parametric estimation and segmentation of optic flow. Research Report Irisa, No 1197, July 1998. details pdf
  11. E. Mémin, P. Pérez. Adaptative multigrid and variable parameterization for optical-flow estimation. Research Report INRIA, No 3102, January 1997. details pdf
  12. E. Mémin, P. Pérez, D. Machecourt. Dense estimation and object-based segmentation of the optical flow with robust techniques. Research Report INRIA, No 2836, March 1996. details pdf
  13. E. Mémin, F. Heitz, F. Charot. Efficient parallel non-linear multigrid relaxation algorithms for low-level vision applications. Research Report INRIA, No 2184, April 1994. details pdf

Misc

  1. A. Cuzol, E. Mémin. Image assimilation with the weighted ensemble Kalman filter. 9th International Workshop on Adjoint Model Applications in Dynamic Meteorolog, Cefalu, Sicily, Italy, October 2011. details
  2. D. Heitz, P. Héas, J. Carlier, T. Corpetti, N. Papadakis, E. Mémin. Estimation du flot optique dans les écoulements turbulents. GdR Turbulence "Couplage modèle donnés", Cemagref, Rennes, France, 2008. details
  3. P. Héas, D. Heitz, E. Mémin. Cascade d'énergie comme a priori pour l'estimation du flot optique. GdR Turbulence "Couplage modèle donnés", Cemagref, Rennes, France, 2008. details
  4. 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. Congrès Jeunes Chercheurs en Vision par Ordinateur (ORASIS'05), Fournols, France, May 2005. details
  5. 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. details
  6. T. Corpetti, E. Mémin, P. Pérez. Estimation de mouvement fluide basée sur l'équation de continuité associée à une régularisation Div-Curl. Actes des journées francophones des jeunes chercheurs en analyse d'images et perception visuelle, ORASIS'2001, pp. 481-490, Cahors, June 2001. details
  7. F. Desalmand, M. Desbois, P. Leconte, A. Szantai, E. Mémin, P. Pérez, S. Zimeras. Calculation of low level winds over land. February 2000. details
  8. 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. details
  9. 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. details

PhD Thesis

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

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