[1] David Tschumperle and Rachid Deriche. Vector-valued image regularization with pde's : A common framework for different applications. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(4):506-517, April 2005.
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[2] Nikos Paragios and Rachid Deriche. Geodesic active regions and level set methods for motion estimation and tracking. Computer Vision and Image Understanding, 97(3):259-282, March 2005.
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[3] Rachid Deriche, David Tschumperle, Christophe Lenglet, and Mikael Rousson. Variational approaches to the estimation, regularization and segmentation of diffusion tensor images. In Faugeras Paragios, Chen, editor, Mathematical Models in Computer Vision: The Handbook. Springer, 2005 edition, 2005.
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[4] L. Lopez-Perez, R. Deriche, and N. Sochen. The beltrami flow over triangulated manifolds. In Milan Sonka, Ioannis A. Kakadiaris, and Jan Kybic, editors, Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers, volume 3117 of Lecture Notes in Computer Science, pages 135-144. Springer-Verlag Heidelberg, October 2004.
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[5] C. Lenglet, M. Rousson, and R. Deriche. Segmentation of 3D probability density fields by surface evolution: Application to diffusion MRI. In Proc. 7th Intl. Conf. on Medical Image Computing and Computer Assisted Intervention, Saint-Malo, France, September 2004.
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[6] Mikael Rousson, Nikos Paragios, and Rachid Deriche. Implicit active shape models for 3d segmentation in mr imaging. In Proc. 7th Intl. Conf. on Medical Image Computing and Computer Assisted Intervention. Springer-Verlag, September 2004.
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[7] C. Lenglet, M. Rousson, R. Deriche, and O. Faugeras. Statistics on multivariate normal distributions: A geometric approach and its application to diffusion tensor mri. Technical Report 5242, INRIA, June 2004.
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[8] C. Lenglet, M. Rousson, R. Deriche, and O. Faugeras. Toward segmentation of 3d probability density fields by surface evolution: Application to diffusion mri. Technical Report 5243, INRIA, June 2004.
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[9] C. Lenglet, R. Deriche, and O. Faugeras. Inferring white matter geometry from diffusion tensor MRI: Application to connectivity mapping. In Pajdla and Matas [21].
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[10] I. Kokkinos, R. Deriche, P. Maragos, and O. Faugeras. A biologically motivated and computationally tractable model of low and mid-level vision tasks. In Proceedings Eighth European Conference on Computer Vision,, Prague, May 2004.
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[11] I. Kokkinos, R. Deriche, P. Maragos, and O. Faugeras. A biologically motivated and computationally tractable model of low and mid-level vision tasks. In Proceedings Eighth European Conference on Computer Vision,, Prague, May 2004.
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[12] M. Rousson, C. Lenglet, and R. Deriche. Level set and region based surface propagation for diffusion tensor mri segmentation. In Computer Vision Approaches to Medical Image Analysis (CVAMIA) and Mathematical Methods in Biomedical Image Analysis (MMBIA) Workshop, Prague, May 2004.
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[13] R. Deriche, D. Tschumperlé, and C. Lenglet. Dt-mri regularization & fiber tractography. In Proceedings of ISBI, Arlington, VA, April 2004. IEEE.
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[14] C. Chefd'hotel, D. Tschumperlé, R. Deriche, and O. Faugeras. Regularizing flows for constrained matrix-valued images. Journal of Mathematical Imaging and Vision, 20(1-2):147-162, 2004.
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[15] R.R. Peeters, P. Kornprobst, M. Nikolova, S. Sunaert, T. Vieville, G. Malandain, R. Deriche, O. Faugeras, M. Ng, and P. Van Hecke. The use of superresolution techniques to reduce slice thickness in functional MRI. International Journal of Imaging Systems and Technology (IJIST), Special issue on High Resolution Image Reconstruction, 14:131-138, 2004.
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[16] Olivier Faugeras, Geoffray Adde, Guillaume Charpiat, Christophe Chefd'Hotel, Maureen Clerc, Thomas Deneux, Rachid Deriche, Gerardo Hermosillo, Renaud Keriven, Pierre Kornprobst, Jan Kybic, Christophe Lenglet, Lucero Lopez-Perez, Théo Papadopoulo, Jean-Philippe Pons, Florent Segonne, Bertrand Thirion, David Tschumperlé, Thierry Viéville, and Nicolas Wotawa. Variational, geometric, and statistical methods for modeling brain anatomy and function. Neuroimage, 23S1:S46-S55, 2004. Special issue: Mathematics in Brain Imaging - Edited by P.M. Thompson, M.I. Miller, T. Ratnanather, R.A. Poldrack and T.E. Nichols.
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[17] F.B. Lauze, P. Kornprobst, C. Lenglet, R. Deriche, and M. Nielsen. Sur quelques méthodes de calcul de flot optique à partir du tenseur de structure : Synthèse et contribution. In 14ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle [22].
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[18] D. Tschumperlé and R. Deriche. Formalismes variationnels pour l'estimation, la régularisation et la visualisation d'images irmd. In Proceedings of RFIA, 2004.
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[19] N. Wotawa, J-P. Pons, L. Lopez, R. Deriche, and O. Faugeras. fmri data smoothing constrained to the cortical surface: a comparison of the level-set and mesh-based approaches. In NeuroImage (HBM'04), 2004.
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[20] J. Bullier, R. Deriche, O. Faugeras, D. Fieze, P. Girard, R. Guyonneau, P. Kornprobst, T. Papadopoulo, S. Thorpe, and T. Vieville. Rivage feedback during visual integration : towards a generic architecture. Technical Report 5451, INRIA, 2004.
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[21] T. Pajdla and J. Matas, editors. Proceedings of the 8th European Conference on Computer Vision, Prague, Czech Republic, 2004. Springer-Verlag.
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[22] 2004.
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[23] Christophe Lenglet, Rachid Deriche, and Olivier Faugeras. Diffusion tensor magnetic resonance imaging: Brain connectivity mapping. Technical Report 4983, INRIA, November 2003.
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[24] Rousson Mikaël, Paragios Nikos, and Deriche Rachid. Active shape models from a level set perspective. Technical Report 4984, INRIA, October 2003.
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[25] Mikael Rousson, Nikos Paragios, and Rachid Deriche. Active shape models from a level set perspective. Technical Report 4984, INRIA, October 2003.
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[26] Thomas Brox, Mikael Rousson, Rachid Deriche, and Joachim Weickert. Unsupervised segmentation incorporating colour, texture, and motion. In 10th International Computer Analysis of Images and Patterns, number 2756 in Lecture Notes on Computer Science., pages 353-360. Springer Verlag, August 2003.
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[27] N. Sochen, R. Deriche, and L Lopez-Perez. The beltrami flow over manifolds. Technical Report 4897, INRIA, July 2003.
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[28] Mikaël Rousson, Thomas Brox, and Rachid Deriche. Active unsupervised texture segmentation on a diffusion based space. In IEEE Conference on Computer Vision and Pattern Recognition [29], pages 699-704.
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[29] Madison, Wisconsin (United States), June 2003.
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[30] Christophe Lenglet, Rachid Deriche, and Théo Papadopoulo. Implementation and evaluation of the adaptative estimation of gst. Technical report, Odyssée - INRIA, May 2003.
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[31] Thomas Brox, Mikael Rousson, Rachid Deriche, and Joachim Weickert. Unsupervised segmentation incorporating colour, texture, and motion. INRIA Research Report research report number 4760, INRIA, March 2003.
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[32] N. Paragios and R. Deriche. Variational principles in optical flow estimation and tracking. In Osher and Paragios [48].
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[33] Mikael Rousson and Rachid Deriche. Adaptative segmentation of vector valued images. In Osher and Paragios [48].
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[34] R. Deriche, P. Kornprobst, M. Nikolova, and M. Ng. Half-quadratic regularization for mri image restoration. In ICASSP'03, pages 585-588, 2003.
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[35] P. Kornprobst, R. Peeters, M. Nikolova, R. Deriche, M. Ng, and P. Van Hecke. A superresolution framework for fmri sequences and its impact on resulting activation maps. In Medical Image Computing and Computer-Assisted Intervention-MICCAI2003 [47], pages 117-125.
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[36] Mikaël Rousson, Thomas Brox, and Rachid Deriche. Segmentation active et non supervisée d'images texturées basée sur le tenseur de structure non-linéaire. In TAIMA'2003, 2003.
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[37] N. Sochen, R. Deriche, and L. Lopez-Perez. Variational beltrami flows over manifolds. In International Conference on Image Processing, 2003.
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[38] N. Sochen, R. Deriche, and L. Lopez-Perez. The beltrami flow over implicit manifolds. In Proceedings of the 9th International Conference on Computer Vision [46].
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[39] D. Tschumperlé and R. Deriche. Vector-valued image regularization with PDE's : A common framework for different applications. In IEEE Conference on Computer Vision and Pattern Recognition [29].
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[40] D. Tschumperlé and R. Deriche. DT-MRI images : Estimation, regularization and application. In J.C. Rodriguez R. Morena-Diaz Jr, A. Quesada-Arencibia, editor, EUROCAST'2003 : Cast and Tools for Complexity in Biological Phyical and Engineering Systems, 9th International Workshop on Computer Aided Systems Theory, Las Palmas de Gran Canaria, 2003.
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[41] D. Tschumperlé and R. Deriche. Variational frameworks for DT-MRI estimation, regularization and visualization. In Proceedings of the 9th International Conference on Computer Vision [46].
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[42] D. Tschumperlé and R. Deriche. Tensor field visualization with pde's and application to dt-mri fiber visualization. In Proceedings of VLSM'03 (Variational and Level Set Methods), 2003.
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[43] D. Tschumperlé and R. Deriche. Régularisation d'images multivaluées par edp : Un formalisme commun pour différentes applications. In Proceedings of TAIMA'2003, Hammamet/Tunisie, 2003.
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[44] Rachid Deriche Mikaël Rousson, Thomas Brox. Active unsupervised texture segmentation on a diffusion based feature space. INRIA Research Report 4695, INRIA, January 2003.
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[45] Mikael Rousson, Thomas Brox, and Rachid Deriche. Active unsupervised texture segmentation on a diffusion based feature space. Technical Report 4695, INRIA, January 2003.
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[46] IEEE Computer Society. Proceedings of the 9th International Conference on Computer Vision, Nice, France, 2003. IEEE Computer Society Press.
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[47] Lecture Notes in Computer Science. Springer-Verlag, 2003.
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[48] S. Osher and N. Paragios, editors. Springer-Verlag, 2003.
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[49] M. Rousson and R. Deriche. A variational framework for active and adaptative segmentation of vector valued images. In Proc. IEEE Workshop on Motion and Video Computing, pages 56-62, Orlando, Florida, December 2002.
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[50] D. Tschumperlé and R. Deriche. Vector-valued image regularization with pde's : A common framework for different applications. RR 4657, INRIA Sophia-Antipolis, December 2002.
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[51] M. Rousson and R. Deriche. A variational framework for active and adaptative segmentation of vector valued images. RR 4515, INRIA, July 2002.
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[52] C. Chefd'hotel, D. Tschumperlé, R. Deriche, and O. Faugeras. Constrained flows on matrix-valued functions : application to diffusion tensor regularization. In Proceedings of ECCV'02, June 2002.
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[53] L. Alvarez, R. Deriche, T. Papadopoulo, and J. Sanchez. Symmetrical dense optical flow estimation with occlusion detection. In Heyden et al. [54], pages 721-735.
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[54] A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors. Proceedings of the 7th European Conference on Computer Vision, Copenhagen, Denmark, May 2002. Springer-Verlag.
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[55] L. Alvarez, R. Deriche, J. Weickert, and J. Sanchez. Dense disparity map estimation respecting image discontinuities: A PDE and scale-space based approach. Journal of Visual Communication and Image Representation, Special Issue on Partial Differential Equations in Image Processing, Computer Vision and Computer Graphics, 13(1/2):3-21, March 2002.
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[56] R. Deriche and D. Tschumperlé. EDP, images multivaluées contraintes et application. In SEE [57], pages 85-97.
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[57] SEE, editor. Club 29 Traitement du Signal et de l'Image, March 2002.
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[58] N. Paragios and R. Deriche. Geodesic active regions and level set methods for supervised texture segmentation. The International Journal of Computer Vision, 46(3):223-247, 2002.
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[59] N. Paragios and R. Deriche. Geodesic active regions: a new paradigm to deal with frame partition problems in computer vision. Journal of Visual Communication and Image Representation, Special Issue on Partial Differential Equations in Image Processing, Computer Vision and Computer Graphics, 13(1/2):249-268, march/june 2002.
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[60] D. Tschumperlé and R. Deriche. Diffusion PDE's on Vector-Valued images. IEEE Signal Processing Magazine, 19(5):16-25, 2002.
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[61] D. Tschumperlé and R. Deriche. Orthonormal Vector Sets Regularization with PDE's and Aplications. Internation Journal of Computer Vision (IJCV, Special Issue VLSM), 50:237-252, 2002.
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[62] F. Taillandier. and R. Deriche. Reconstruction de primitives linéaires 3d en multi-vues pour la modélisation de scènes urbaines. In RFIA 2002. 13ème Congrès Francophone AFRIF-AFIA de Reconnaissance des Formes et Intelligence Artificielle, Angers, January 2002.
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[63] F. Taillandier. and R. Deriche. Reconstruction of 3d linear primitives from multiples views for urban areas modelisation. In Symposium on Photogrammetric Computer Vision, Graz, sept 2002.
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[64] D. Tschumperlé and R. Deriche. Régularisation par EDP de champs de vecteurs orthonormés et applications. In 13ème Congrès RFIA`02 [66].
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[65] Paragios N and Deriche R. Geodesic active regions and level set methods for supervised texture segmentation. Accepted for Publication. To appear late 2001/Early 2002, 2002.
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[66] Angers, January 2002.
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[67] D. Tschumperlé and R. Deriche. Diffusion tensor regularization with constraints preservation. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai Marriott, Hawaii, December 2001.
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[68] D. Tschumperlé and R. Deriche. Regularization of orthonormal vector sets using coupled PDE's. In IEEE Workshop on Variational and Level Set Methods [69], pages 3-10.
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[69] Vancouver, Canada, July 2001.
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[70] D. Tschumperlé and R. Deriche. Constrained and unconstrained PDE's for vector image restoration. In Austvoll [71], pages 153-160.
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[71] Ivar Austvoll, editor. Bergen, Norway, June 2001.
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[72] L. Alvarez, R. Deriche, J. Weickert, and J. Sànchez. Dense disparity map estimation respecting image discontinuities: A pde and scale-space based approach. In IAPR International Workshop on Machine Vision Applications, Tokyo, Japan, November 2000. The University of Tokyo.
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[73] L. Alvarez, R. Deriche, and F. Santana. Recursivity and PDE's in image processing . In Proceedings 15th International Conference on Pattern Recognition, volume I, pages 242-248, September 2000.
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[74] P. Montesinos, V. Gouet, R. Deriche, and D. Pelé. Matching color uncalibrated images using differential invariants. Image and Vision Computing, 18(9):659-672, June 2000.
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[75] Nikos Paragios and Rachid Deriche. Coupled geodesic active regions for image segmentation : a level set approach. In Proceedings of the 6th European Conference on Computer Vision [76], pages 224-240.
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[76] Dublin, Ireland, June 2000.
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[77] N. Paragios and R. Deriche. Geodesic active contours and level sets for the detection and tracking of moving objects. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22:266-280, March 2000.
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[78] V. Gouet, P. Montesinos, R. Deriche, and D. Pelé. Evaluation de détecteurs de points d'intérêt pour la couleur. In 12ème Congrès RFIA`00 [82], pages 257-266.
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[79] N. Paragios and R. Deriche. Régions actives géodésiques et courbes de niveau pour l'estimation du mouvement et le suivi d'objets. In 12ème Congrès RFIA`00 [82], pages pp 379-388.
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[80] N. Paragios and R. Deriche. Régions actives géodésiques et courbes de niveau pour la segmentation supervisée d'images texturées. In 12ème Congrès RFIA`00 [82], pages 245-254.
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[81] D. Tschumperlé and R. Deriche. Restauration d'images vectorielles par EDP. In 12ème Congrès RFIA`00 [82], pages 247-256.
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[82] Paris, February 2000.
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[83] Manolis I.A. Lourakis and Rachid Deriche. Camera self-calibration using the singular value decomposition of the fundamental matrix. In Proc. of the 4th Asian Conference on Computer Vision, volume I, pages 403-408, January 2000.
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[84] L. Alvarez, R. Deriche, J. Weickert, and J. Sànchez. Dense disparity map estimation respecting image discontinuities: A pde and scale-space based approach . Research Report 3874, INRIA, January 2000. Accepted for publication in Journal of Visual Communication and Image Representation, Special Issue on Partial Differential Equations in Image Processing, Computer Vision and Computer Graphics, Dec. 2000 (to appear).
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[85] Manolis I.A. Lourakis and Rachid Deriche. Camera self-calibration using the Kruppa equations and the SVD of the fundamental matrix: The case of varying intrinsic parameters. Research Report 3911, INRIA Sophia-Antipolis, 2000.
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[86] P. Kornprobst, R. Deriche, and G. Aubert. Image sequence analysis via partial differential equations. Journal of Mathematical Imaging and Vision, 11(1):5-26, October 1999.
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[87] L. Alvarez, R. Deriche, and F. Santana. Recursivity and PDE's in image processing. Technical Report 0001, Instituto Universitario de Ciensias y Tecnologias Ciberneticas - Universidad de Las-Palmas de Gran Canaria, October 1999.
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[88] N. Paragios and R. Deriche. Coupled geodesic active regions for image segmentation. Technical Report 3783, I.N.R.I.A, October 1999.
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[89] N. Paragios and R. Deriche. Geodesic active regions for supervised texture segmentation. In Proceedings of the 7th International Conference on Computer Vision [98].
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[90] N. Paragios and R. Deriche. Geodesic Active Regions for Motion Estimation and Tracking. In Proceedings of the 7th International Conference on Computer Vision [98].
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[91] Manolis I.A. Lourakis and Rachid Deriche. Camera self-calibration using the singular value decomposition of the fundamental matrix: From point correspondences to 3D measurements. Research Report 3748, INRIA Sophia-Antipolis, August 1999.
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[92] N. Paragios and R. Deriche. Geodesic active contours for supervised texture segmentation. In Proceedings of the International Conference on Computer Vision and Pattern Recognition [94].
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[93] N. Paragios and R. Deriche. Unifying boundary and region-based information for geodesic active tracking. In Proceedings of the International Conference on Computer Vision and Pattern Recognition [94].
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[94] IEEE Computer Society. Fort Collins, Colorado, June 1999.
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[95] O. Faugeras, F. Clément, R. Deriche, R. Keriven, T. Papadopoulo, J. Roberts, T. Viéville, F. Devernay, J. Gomes, G. Hermosillo, P. Kornprobst, and D. Lingrand. The inverse EEG and MEG problems: The adjoint space approach I: The continuous case. Technical Report 3673, INRIA, May 1999.
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[96] N. Paragios and R. Deriche. Geodesic active regions for motion estimation and tracking. Technical Report 3631, INRIA, France, March 1999.
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[97] G. Aubert, R. Deriche, and P. Kornprobst. Computing optical flow via variational techniques. SIAM Journal of Applied Mathematics, 60(1):156-182, 1999.
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[98] IEEE Computer Society. Kerkyra, Greece, 1999. IEEE Computer Society Press.
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[99] P. Kornprobst, R. Deriche, and G. Aubert. Une méthode variationnelle pour l'analyse des séquences d'images. In Proceedings of the 30th Congrés Annuel d'Analyse Numérique [113], page 239.
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[100] P. Montesinos, V. Gouet, and R. Deriche. Differential invariants for color images. In 14th International Conference on Pattern Recognition, Brisbane, Australia, August 1998.
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[101] P. Kornprobst, R. Deriche, and G. Aubert. Image sequence restoration: A PDE based coupled method for image restoration and motion segmentation. In Burkhardt and Neumann [104], pages 548-562.
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[102] N. Paragios and R. Deriche. Geodesic active regions for texture segmentation. Technical Report 3440, INRIA, France, June 1998.
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[103] IEEE Computer Society. Santa Barbara, California, June 1998.
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[104] Hans Burkhardt and Bernd Neumann, editors. volume 1406-1407 of Lecture Notes in Computer Science, Freiburg, Germany, June 1998. Springer-Verlag.
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[105] G. Aubert, R. Deriche, and P. Kornprobst. A variational method and its mathematical study in image sequence analysis. Technical Report 3415, INRIA, April 1998.
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[106] Rachid Deriche, Christophe Bouvin, and Olivier. Faugeras. Front propagation and level-set approach for geodesic active stereovision. In Third Asian Conference On Computer Vision, Bombay, India, January 1998.
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[107] Rachid Deriche, Christophe Bouvin, and Olivier. Faugeras. Front propagation and level-set approach for geodesic active stereovision. In IEEE International Workshop on Visual Surveillance, Bombay, India, January 1998.
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[108] P. Kornprobst, R. Deriche, and G. Aubert. EDP, débruitage et réhaussement en traitement d'image: Analyse et contributions. In 11ème Congrés RFIA, volume 1, pages 277-286. AFCET, January 1998.
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[109] Laurence Lucido, Rachid Deriche, and Vincent Rigaud. Mise en correspondance de profils bathymetriques pour la navigation des engins sous-marins. In 11 ème Congres RFIA, Clermont-Ferrand, January 1998. AFCET.
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[110] N. Paragios and R. Deriche. A PDE-based level set approach for detection and tracking of moving objects. In Proceedings of the 6th International Conference on Computer Vision [114], pages 1139-1145.
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[111] N. Paragios and R. Deriche. ARTemis: A Geodesic Active Contour Tracker. In IEEE Conference on Computer Vision and Pattern Recognition, the demo session [103].
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[112] N. Paragios and R. Deriche. Geodesic Active Regions for Tracking. In proceedings of Computer Vision and Mobile Robotics workshop, Santorini, Greece, 1998.
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[113] Arles, France, January 1998.
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[114] IEEE Computer Society. Bombay, India, January 1998. IEEE Computer Society Press.
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[115] G. Aubert, R. Deriche, and P. Kornprobst. A mathematical study of the regularized optical flow problem in the space BV(Omega). Technical Report 503, Université de Nice-Sophia Antipolis, December 1997.
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[116] P. Kornprobst, R. Deriche, and G. Aubert. Etude mathématique du problème du flot optique dans l'espace BV. In Proceedings of the 29th Congrés Annuel d'Analyse Numérique [124], pages 229-230.
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[117] P. Kornprobst, R. Deriche, and G. Aubert. Image sequence restoration: A PDE based coupled method for image restoration and motion segmentation. Technical Report 3308, INRIA, November 1997.
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[118] P. Kornprobst, R. Deriche, and G. Aubert. Image coupling, restoration and enhancement via PDE's. In Proceedings of the International Conference on Image Processing [129], pages 458-461.
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[119] N. Paragios and R. Deriche. Detecting multiple moving targets using deformable contours. In Proceedings of the International Conference on Image Processing [129], pages 183-186.
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[120] N. Paragios and R. Deriche. Detection of Moving Objects: A Level Set Approach. In Proceedings of SIRS'97, Stockholm, Sweden, July 1997.
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[121] Laurence Lucido, Rachid Deriche, Luis Alvarez, and Vincent Rigaud. Sur quelques schémas numériques de résolution d'équations aux dérivées partielles pour le traitement d'images. Rapport de Recherche 3192, INRIA, June 1997.
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[122] IEEE Computer Society. San Juan, Puerto Rico, June 1997. IEEE.
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[123] N. Paragios and R. Deriche. A PDE-based Level Set Approach for Detection and Tracking of Moving Objects. Technical Report 3173, INRIA, France, May 1997.
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[124] Larnas, France, May 1997.
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[125] Mads Nielsen, Luc Florack, and Rachid Deriche. Regularization, scale-space and edge detection filters. Journal of Mathematical Imaging and Vision, 7(4):291-308, 1997. Related ECCV:96 article available at ftp://ftp-sop.inria.fr/odyssee/Publications/1996/nielsen-florack-etal:96.pdf.
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[126] Zhengyou Zhang, Olivier Faugeras, and Rachid Deriche. An effective technique for calibrating a binocular stereo through projective reconstruction using both a calibration object and the environment. Journal of Computer Vision Research - VIDERE, 1(1), 1997.
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[127] P. Kornprobst, R. Deriche, and G. Aubert. Nonlinear operators in image restoration. In Proceedings of the International Conference on Computer Vision and Pattern Recognition [122], pages 325-331.
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[128] I. Zoghlami, O. Faugeras, and R. Deriche. Using geometric corners to build a 2d mosaic from a set of images. In Proceedings of the International Conference on Computer Vision and Pattern Recognition [122].
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[129] Santa Barbara, CA, USA, 1997.
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[130] Rachid Deriche, Christophe Bouvin, and Olivier Faugeras. A level-set approach for stereo. In First Annual Symposium on Enabling Technologies for Law Enforcement and Security - SPIE Conference 2942 : Investigative Image Processing., Boston, Massachusetts USA, November 1996.
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[131] Rachid Deriche and Olivier D. Faugeras. A level-set based approach for stereo. In Rudin and Bramble [133].
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[132] P. Kornprobst, R. Deriche, and G. Aubert. Image restoration via PDE's. In First Annual Symposium on Enabling Technologies for Law Enforcement and Security - SPIE Conference 2942 : Investigative Image Processing., Boston, Massachusetts, USA, November 1996.
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[133] Proceedings of the Proceedings of the International Society for Optical Engineering, November 1996.
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[134] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. An integrated multiscale approach for terrain referenced underwater navigation. In Proc. IEEE International Conference on Image Processing, Lausanne, September 1996.
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[135] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. A terrain referenced underwater positioning using sonar bathymetric profiles and multiscale analysi. In Proc. OCEANS 96 MTS-IEE, Fort Lauderdale, Florida (US), September 1996.
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[136] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. A multiscale approach for terrain referenced underwater navigation. In Proc. IEEE Int, Symp. on Time-Frequency and Time-Scale Analysis, Paris, June 1996.
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[137] P. Kornprobst, R. Deriche, and G. Aubert. Estimation du flot optique avec préservation des dicontinuités: Une approche variationnelle. In Journées ORASIS'96, pages 81-86, May 1996.
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[138] L. Lucido, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. Underwater navigation by terrain matching. In Proc. World Automation Congress, ISRAM'96, Montpellier.., May 1996.
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[139] Mads Nielsen, Luc Florack, and Rachid. Deriche. Regularization, scale-space, and edge detection filters. In Buxton [141].
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[140] L. Robert and R. Deriche. Dense depth map reconstruction: A minimization and regularization approach which preserves discontinuities. In Buxton [141].
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[141] Bernard Buxton, editor. Cambridge, UK, April 1996.
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[142] L. Lucido, B. Popescu, J. Opderbecke, V. Rigaud, R. Deriche, and Z. Zhang. Segmentation of bathymetric profiles and terrain matching for underwater vehicle navigation. In Proceedings 6th IARP Workshop on Underwater Robotics, Toulon, March 1996.
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[143] R. Deriche and O. Faugeras. Les EDP en Traitement des Images et Vision par Ordinateur. Traitement du Signal, 13(6), 1996.
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[144] R. Deriche, P. Kornprobst, and G. Aubert. Optical flow estimation while preserving its discontinuities: A variational approach. In Proceedings of the 2nd Asian Conference on Computer Vision [145], pages 71-80.
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[145] Singapore, December 1995.
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[146] M. Lee, G. Medioni, and R. Deriche. Structure and motion from a sparse set of views. In IEEE International Symposium on Computer Vision, Biltmore Hotel, Coral Gables , Florida , USA, November 1995.
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[147] R. Deriche and O. Faugeras. Les EDP en traitement des images et vision par ordinateur. Technical report, INRIA, November 1995. A more complete version of this Research Report has appeared in the French Revue Traitement du Signal. Volume 13 - No 6 - Special 1996.
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[148] Z. Zhang, R. Deriche, O. Faugeras, and Q.T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence Journal, 78:87-119, October 1995.
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[149] Thierry Blaszka and Rachid Deriche. A model based method for characterization and location of curved image features. In Proceedings of the 8th ICIAP, San-Remo, Italy, September 1995.
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[150] L. Robert and R. Deriche. Dense depth map reconstruction using a multiscale regularization approach which preserves discontinuities. In et al. [151], pages 32-39.
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[151] S. Efstratiadis et al., editor. The European Project RACE 2045-DISTIMA, September 1995.
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[152] B. Bascle and R. Deriche. Region tracking through image sequences. In Proceedings of the 5th International Conference on Computer Vision [154], pages 302-307.
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[153] Nielsen Mads and Deriche Rachid. Binocular dense depth reconstruction using isotropy constraint. In Gunilla Borgefors, editor, Proceedings of the 9th SCIA, volume 1, Uppsala, Sweden, June 1995.
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[154] Boston, MA, June 1995. IEEE Computer Society Press.
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[155] Z. Zhang, O. Faugeras, and R. Deriche. Calibrating a binocular stereo through projective reconstruction using both a calibration object and the environment. In R. Mohr and C. Wu, editors, Proc. Europe-China Workshop on Geometrical modelling and Invariants for Computer Vision, pages 253-260, Xi'an, China, April 1995.
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[156] Z. Zhang, R. Deriche, O. Faugeras, and Q.T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. In Proc. 3rd Int'l Conf. Automation Robotics Computer Vision, pages 1102-1106, Singapore, November 1994.
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[157] Thierry Blaszka and Rachid Deriche. Recovering and characterizing image features using an efficient model based approach. Technical Report 2422, INRIA, November 1994.
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[158] B. Bascle, P. Bouthemy, R. Deriche, and F. Meyer. Tracking complex primitives in an image sequence. In Proceedings of the 12th IAPR International Conference On Pattern Recognition, pages 426-431, Jerusalem, Israel, oct 1994.
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[159] Z. Zhang, R. Deriche, O. Faugeras, and Q.T. Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Research Report 2273, INRIA Sophia-Antipolis, May 1994. Also in Artificial Intelligence Journal, Vol.78, pages 87-119, October 1995.
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[160] J-O. Eklundh, editor. volume 800-801 of Lecture Notes in Computer Science, Stockholm, Sweden, May 1994. Springer-Verlag.
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[161] Z. Zhang, R. Deriche, Q.T. Luong, and O. Faugeras. A robust approach to image matching: Recovery of the epipolar geometry. In Proc. International Symposium of Young Investigators on InformationComputerControl, pages 7-28, Beijing, China, February 1994.
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[162] Zhengyou Zhang, Rachid Deriche, Olivier Faugeras, and Quang-Tuan Luong. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artificial Intelligence Journal, 78(1-2):87-119, 1994. Appeared in October 1995, also INRIA Research Report No.2273, May 1994.
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[163] T. Blaszka and R. Deriche. A model based method for characterization and location of curved image features. In Inria Research Report, number 2451, 1994.
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[164] R. Deriche, Z. Zhang, Q.T. Luong, and O. Faugeras. Robust recovery of the epipolar geometry for an uncalibrated stereo rig. In Eklundh [160], pages 567-576, Vol. 1.
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[165] O. Monga, R. Lengagne, and R. Deriche. Extraction of the Zero-Crossings of the Curvature Derivatives in Volumic 3D Medical Images : : A Multi-Scale Approach. In Proceedings IEEE Conference On Computer Vision and Pattern Recognition, pages 852-855, Seattle,Washington, June 21-23 1994.
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[166] O. Monga, R. Lengagne, and R. Deriche. Crest Lines Extraction in Volume 3D Medical Images : A Multi-Scale Approach. In Proceeding of the 12th IAPR International Conference On Pattern Recognition, Vol 1, volume 1, pages 553-555, Jerusalem,Israel, October 9-13 1994.
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[167] T. Blaszka and R. Deriche. A model based method for characterization and location of curved image features. Technical Report 2451, Inria-Sophia, 1994.
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[168] M. Nielsen, L. Florack, and R. Deriche. Regularization and scale space. Research Report 2352, INRIA Sophia-Antipolis, 1994.
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[169] B. Giai-Checa, R. Deriche, T. Viéville, and O.Faugeras. Suivi de segments dans une séquence d'images monoculaire. Technical Report 2113, INRIA Sophia-Antipolis, France, December 1993.
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[170] R. Deriche and T. Blaszka. Recovering and characterizing image features using an efficient model based approach. In Proceedings of the International Conference on Computer Vision and Pattern Recognition [171], pages 530-535.
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[171] IEEE Computer Society. New-York, NY, June 1993. IEEE.
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[172] R. Deriche and G. Giraudon. A computational approach for corner and vertex detection. The International Journal of Computer Vision, 10(2):101-124, 1993.
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[173] R. Deriche, O. Faugeras, G. Giraudon, T. Papadopoulo, and R. Vaillant. Four applications of differential geometry to computer vision. In Guy Orban and H-H. Nagel, editors, Artificial and Biological Vision Systems, Basic Research Series, pages 93-141. Springer-Verlag, 1993.
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[174] B. Bascle and R. Deriche. Stereo matching, reconstruction and refinement of 3-D curves using deformable contours. In Proceedings of the 4th International Conference On Computer Vision, Berlin, Germany, 1993.
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[175] B. Bascle and R. Deriche. Energy based methods for 2D curve tracking, reconstruction, and refinement of 3D curves and applications. In SPIE Proceedings, Vol. 2031. Geometric Methods in Computer Vision, San-Diego, California,USA, July 12-13 1993.
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[176] T. Blaszka and R. Deriche. Extraction et caractérisation d' attributs image par une approche paramétrique à base de droites et de courbes. In Quatrièmes Journées Orasis, pages 152-156, Mulhouse,France, Octobre 1993.
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[177] Quang-Tuan Luong, Rachid Deriche, Olivier Faugeras, and Théodore Papadopoulo. On determining the fundamental matrix: analysis of different methods and experimental results. In Israelian Conf. on Artificial Intelligence and Computer Vision, Tel-Aviv, Israel, 1993. A longer version is INRIA Tech Report RR-1894.
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[178] R. Deriche. Recursively implementing the gaussian and its derivatives. Technical Report 1893, INRIA, Unité de Recherche Sophia-Antipolis, 1993.
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[179] Quang-Tuan Luong, Rachid Deriche, Olivier Faugeras, and Théodore Papadopoulo. On determining the fundamental matrix: Analysis of different methods and experimental results. Technical Report 1894, INRIA, 1993.
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[180] Luc Robert, Rachid Deriche, and Olivier Faugeras. Dense depth map reconstruction using multiscale regularization. In Proceedings of the International Conference on Image Processing [181], pages 123-127.
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[181] Singapore, September 1992.
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[182] L. Robert, R. Deriche, and O.D. Faugeras. Dense depth recovery from stereo images. In Proceedings of the European Conference on Artificial Intelligence [183], pages 821-823.
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[183] Vienna, Austria, August 1992.
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[184] Olivier Faugeras, Rachid Deriche, Hervé Mathieu, Nicholas Ayache, and Grégory Randall. The depth and motion analysis machine. International Journal of Pattern Recognition and Artificial Intelligence, 6(2):353-385, 1992.
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[185] R. Deriche, R. Vaillant, and O. Faugeras. From Noisy Edges Points to 3D Reconstruction of a Scene : A Robust Approach and Its Uncertainty Analysis, volume 2, pages 71-79. World Scientific, 1992. Series in Machine Perception and Artificial Intelligence.
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[186] B. Bascle and R. Deriche. Feature extraction using parametric snakes. In Proceeding of the 11th IAPR International Conference On Pattern Recognition, Conference C, pages 659-663, The Hague, The Netherlands, 1992.
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[187] R. Deriche. Recursively Implementing the Gaussian and Its Derivatives. In Proc. Second International Conference On Image Processing, pages 263-267, Singapore, September 7-11 1992.
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[188] O. Monga, R. Deriche, G. Malandain, and J. P. Cocquerez. Recursive filtering and edge closing : Two primary tools for 3D edge detection. Image and Vision Computing, 9(4):203-214, August 1991.
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[189] Rachid Deriche, Régis Vaillant, and Olivier Faugeras. From noisy edge points to 3D reconstruction of a scene: A robust approach and its uncertainty analysis. In Proceedings of the 7th Scandinavian Conference on Image Analysis [190], pages 225-232.
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[190] Alborg, Denmark, August 1991.
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[191] O.D. Monga, R. Deriche, and J.M. Rocchisani. 3-D edge detection using recursive filtering : Application to scanner images. CVGIP: Image Understanding, 53(1):76-87, January 1991.
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[192] G. Giraudon and R. Deriche. On Corner and Vertex Detection. In Computer Vision and Pattern Recognition, pages 650-655, Lahaina, Maui, Hawai, June 3-6 1991.
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[193] O. Faugeras, N. Navab, and R. Deriche. On the information contained in the motion field of lines and the cooperation between motion and stereo. Technical Report 1453, INRIA, Unité de Recherche Sophia-Antipolis, juin 1991.
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[194] R. Deriche and G. Giraudon. Accurate corner detection: An analytical study. In Proceedings of the 3rd International Conference on Computer Vision [196], pages 66-70.
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[195] N. Navab, R. Deriche, and O.D. Faugeras. Recovering 3D motion and structure from stereo and 2D token tracking cooperation. In Proc. Third Int'l Conf. Comput. Vision, pages 513-517, Osaka, Japan, December 1990. IEEE.
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[196] Osaka, Japan, December 1990. IEEE Computer Society Press.
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[197] Rachid Deriche and Olivier Faugeras. Tracking line segments. Image and Vision Computing, 8(4):261-270, November 1990. A shorter version appeared in the Proceedings of the 1st ECCV.
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[198] Rachid Deriche and Olivier Faugeras. Tracking line segments. In Proceedings of the 1st ECCV, pages 259-268. Springer-Verlag, April 1990.
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[199] O. Monga, R. Deriche, G. Malandain, and J. P. Cocquerez. Recursive Filtering and Edge Closing : Two Primary Tools for 3D Edge Detection. In Proceedings First European Conference on Computer Vision, pages 56-65, Antibes,France, April 1990.
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[200] R. Deriche. Fast algorithms for low-level vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(12):78-88, January 1990.
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[201] Olivier Faugeras, Rachid Deriche, and Nassir Navab. Information contained in the motion field of lines and the cooperation between motion and stereo. International Journal of Imaging Systems and technology, 2:356-370, 1990.
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[202] R. Deriche and O.D. Faugeras. 2D-curves matching using high curvatures points : Applications to stereovision. In Proc. 10th Int'l Conf. Pattern Recog., volume 1, pages 240-242, Atlantic City, June 16-21 1990.
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[203] O. Monga, R. Deriche, G. Malandain, and J.P Cocquerez. 3D Edge Detection by Recursive Filtering and Edge Tracking. In 10th International Conference on Pattern Recognition (ICPR), Vol 1, pages 652-654, Atlantic City, June 16-21 1990.
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[204] Olivier Faugeras, Rachid Deriche, and Nassir Navab. From optical flow of lines to 3-D motion and structure. In Proceedings IEEERSJ International Workshop on Intelligent Robots and Systems '89, pages 646-649. IEEE Industrial Electronics Society, Robotics Society of Japan, 1989. Tsukuba, Japan.
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[205] O. D. Monga and R. Deriche. 3-D Edge Detection Using Recursive Filtering : Application to Scanner Images. In Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition, pages 28-35, San-Diego,California, June 4-8 1989.
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[206] Giorgio Toscani, Régis Vaillant, Rachid Deriche, and Olivier D. Faugeras. Stereo camera calibration using the environment. In Proceedings of the 6th Scandinavian Conference on Image Analysis, SCIA89, pages 953-960, 1989.
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[207] R. Vaillant, R. Deriche, and O. Faugeras. 3D vision on the parallel machine capitan. In Int'l Workshop on Industrial Application of Machine Intelligence and Vision, Tokyo, Japan, April 10-12 1989.
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[208] Olivier Faugeras, Rachid Deriche, Nicholas Ayache, Francis Lustman, and Ercole Giuliano. Depth and motion analysis: the machine being developed within esprit project 940. In Proceedings of the IAPR Workshop on Computer Vision (Special Hardware and Industrial Applications), pages 35-44, Tokyo, Japan, October 1988.
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[209] Giorgio Toscani, Rachid Deriche, and Olivier Faugeras. 3D Motion Estimation Using a Token Tracker. In Proceedings of the IAPR Workshop on Computer Vision (Special Hardware and Industrial Applications), Tokyo, Japan, pages 257-261, October 1988.
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[210] R. Deriche, J. P. Cocquerez, and G. Almouzny. An efficient method to build an early image description. In Proceedings of the 9th International Conference On Pattern Recognition, volume 1, pages 588-590, Rome, November 14-17 1988.
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[211] R. Deriche. Using Canny's criteria to derive a recursively implemented optimal edge detector. The International Journal of Computer Vision, 1(2):167-187, May 1987.
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[212] R. Deriche and J-P. Cocquerez. Extraction de composantes connexes basée sur une détection optimale des contours. In Cognitiva, pages 1-9. CESTA, 1987.
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[213] R. Deriche. Separable Recursive Filtering for Efficient Multi-Scale Edge Detection. In Proceeding International Workshop on Machine Vision and Machine Intelligence, pages 18-23, Tokyo, February 2-5 1987.
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[214] R. Deriche and J. F. Abramatic. Design of 2-D recursive filters using singular value decomposition technique. In Proceeding ICASSP, Volume 3, pages 2046-2049, Paris, May 1982.
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