Articles in refereed journals

[94] G. Theaud, M. Edde, M. Dumont, C. Zotti, M. Zucchelli, S. Deslauriers-Gauthier, R. Deriche,P.-.Jodoin,M.Descoteaux,  DORIS: a diffusion MRI-based 10 tissue class deep learning segmentation algorithm tailored to improve anatomically-constrained tractography, Frontiers in Neuroimaging,  2022, [doi:10.3389/fnimg.2022.917806], [hal.archives-ouvertes.fr/hal-03694817].

[93] Samuel Deslauriers-Gauthier, Mauro Zucchelli, Hiba Laghrissi and Rachid Deriche “A Riemannian revisiting of structure-function mapping based on eigenmodes” Frontiers in Neuroimaging, 2022 –https://www.frontiersin.org/articles/10.3389/fnimg.2022.850266/full

[92] Isa Costantini, Rachid Deriche, Samuel Deslauriers-Gauthier  “An Anisotropic 4D Filtering Approach to Recover Brain Activation from Paradigm Free Functional MRI Data” Frontiers in Neuroimaging, 2022, 1, pp.815423. ⟨10.3389/fnimg.2022.815423⟩. ⟨hal-03628664⟩

[91] Alberto de Luca & al. ” On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: chronicles of the MEMENTO challenge”. NeuroImage 240 (Oct. 2021)   10.1016/j.neuroimage.2021.118367 . https://hal.inria.fr/view/index/identifiant/hal-03172123

[90] Matteo Frigo, Emilio Cruciani, David Coudert, Rachid Deriche, Samuel Deslauriers-Gauthier, Emanuele Natale, “Network alignment and similarity reveal atlas-based topological differences in structural connectomes”. Network Neuroscience,  1-37, MIT Press, 2021, ⟨10.1162/netn_a_00199⟩. ⟨hal-03033777v2⟩

[89] Samuel Deslauriers-Gauthier, Mauro Zucchelli, Matteo Frigo, and Rachid Deriche, “A unified framework for multimodal structure–function mapping based on eigenmodes,” Medical Image Analysis, vol. 66, 101799, dec 2020.

[88] Matteo Frigo, Samuel Deslauriers-Gauthier, Drew Parker, Abdol Aziz Ould Ismail, Junghoon John Kim,Ragini Verma, and Rachid Deriche, “Diffusion MRI tractography filtering techniques change the topology of structural connectomes,” Journal of Neural Engineering, nov 2020.

[87] Patryk Filipiak, Fabien Almairac, Théodore Papadopoulo, Denys Fontaine, Lydiane Mondot, Stéphane Chanalet, Rachid Deriche, Maureen Clerc, Demian Wassermann  “Towards Linking Diffusion MRI based Macro- and Microstructure Measures with Cortico-Cortical Transmission in Brain Tumor Patients” –   NeuroImage – nov 2020 –117567

[86] Abib Alimi, Samuel Deslauriers-Gauthier, Felix Matuschke, Andreas Muller, Sascha E.A. Muenzing, Markus Axer, and Rachid Deriche, “Analytical and fast fiber orientation distribution reconstruction in 3d-polarized light imaging,” Medical Image Analysis, vol. 65, pp. 101760, oct 2020.

[85] Samuel Deslauriers-Gauthier, Isa Costantini, and Rachid Deriche, “Non–invasive inference of information flow using diffusion MRI, functional MRI, and MEG,” Journal of Neural Engineering, vol. 17, no. 4,pp. 045003, jul 2020.

[84] Mauro Zucchelli, Samuel Deslauriers-Gauthier, and Rachid Deriche, “A computational framework forgenerating rotation invariant features and its application in diffusion MRI,” Medical Image Analysis, vol. 60 pp. 101597, feb 2020.

[83] Rutger H. J. Fick, Demian Wassermann, and Rachid Deriche, “The dmipy toolbox: Diffusion MRI multicompartment modeling and microstructure recovery made easy,” Frontiers in Neuroinformatics, vol. 13, oct 2019.

[82] Daniel Santana-Cedrés ; Luis Gomez ; Agustín Trujillo ; Miguel Alemán-Flores ; Rachid Deriche ; Luis Alvarez “Supervised Classification of Fully PolSAR Images Using Active Contour Models” –  IEEE Geoscience and Remote Sensing Letters  – Issue 99 – 2019, Page(s):1 – 5 

[81] T. Megherbi, G. Girard, A. Ghosh, F.O. Boumghar, R. Deriche “Fiber orientation distribution function from non-negative sparse recovery with quantitative analysis of local fiber orientations and tractography using DW-MRI datasets” Magnetic Resonance Imaging – Volume 57, April 2019, Pages 218-234

[80] S. Merino-Caviedes, L. Cordero-Grande, M. T. Pérez, P. Casaseca-de-la-Higuera, M. Martín-Fernández,R. Deriche, and C. Alberola-López, “A second order multi-stencil fast marching method with a nonconstant local cost model,” IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 1967–1979, 2019.

[79] P. Filipiak, R. Fick, R. Deriche & al. “Reducing the number of samples in spatiotemporal dMRI acquisition design” – Magnetic Resonance in Medicine –  First published: 19 November 2018 – https://doi.org/10.1002/mrm.27601

[78] D.  Cherifi, M. Boudjada, A. Morsli, G. Girard, R. Deriche “Combining Improved Euler and Runge-Kutta 4th order for Tractography in Diffusion-Weighted MRI” – Biomedical Signal Processing and Control – Volume 41, March 2018, Pages 90-99

[77] G. Gallardo, W. Wells, R. Deriche, D. Wassermann “Groupwise structural parcellation of the whole cortex: A logistic random effects model based approach “ NeuroImage – Volume 170, 15 April 2018, Pages 307-320

[76] R. Fick, A. Petiet, R. Deriche & al., “Non-parametric graphnet-regularized representation of dMRI in space and time”  – Medical Image Analysis – Volume 43, January 2018, Pages 37-53 –

[75] G. Girard, A. Daducci, R. Deriche & al., “AxTract: Toward microstructure informed tractography” – Human Brain Mapping –  Volume 38, Issue 11 – https://doi.org/10.1002/hbm.23741

[74] U. Ferizi, B. Scherrer, R. Deriche & al, “Diffusion MRI microstructure models with in vivo human brain Connectome data: results from a multi-group comparison” – NMR Biomed. 2017 Sep;30(9). doi: 10.1002/nbm.3734. Epub 2017 Jun 23.

[73] Marco Pizzolato, Timothée Boutelier, Rachid Deriche “Perfusion Deconvolution in DSC-MRI with dispersion-compliant bases” Medical Image Analysis – Vol. 36. Feb, 2017 – Pages 197-215 doi : 10.1016/j.media.2016.12.001

[72] Rachid Deriche “Computational brain connectivity mapping: A core health and scientific challenge” Medical Image Analysis – Available online 14 June 2016 – doi:10.1016/j.media.2016.06.003

[69] Lipeng Ning, Frederik Laun, Yaniv Gur, Edward V.R. DiBella, Samuel Deslauriers-Gauthier, Thinhinane Megherbi, Aurobrata Ghosh, Mauro Zucchelli, Gloria Menegaz, Rutger Fick, Samuel St-Jean, Michael Paquette, Ramon Aranda, Maxime Descoteaux, Rachid Deriche, Lauren O’Donnell, Yogesh Rathi Sparse Reconstruction Challenge for diffusion MRI: Validation on a physical phantom to determine which acquisition scheme and analysis method to use? Medical Image Analysis -Volume 26, Issue 1, December 2015, Pages 316-331

[68] Jian Cheng, Rachid Deriche, Tianzi Jiang, Dinggang Shen, Pew-Thian Yap,  Non-Negative Spherical Deconvolution (NNSD) for estimation of fiber Orientation Distribution Function in single-/multi-shell diffusion MRI NeuroImage, Volume 101, 1 November 2014, Pages 750–764

[67] Gabriel Girard, Kevin Whittingstall, Rachid Deriche, Maxime Descoteaux,    Towards quantitative connectivity analysis: reducing tractography biases   – NeuroImage,  Volume 98, September 2014, Pages 266–278

[66] Michael Paquette; Sylvain Merlet; Guillaume Gilbert; Rachid Deriche – Comparison of sampling strategies and sparsifying transforms to improve compressed sensing diffusion spectrum imaging – Magnetic Resonance in Medicine, 2014, Article first published online: 29 Jan 2014

[65]  Alessandro Daducci; Erick Canales Rodgriguez; Maxime Descoteaux; Eleftherios Garyfallidis; Yaniv Gur; Ying Chia Lin; Merry Mani; Sylvain Merlet ; Michael Paquette; Alonso Ramirez-Manzanares; Marco Reisert; Paulo Reis Rodrigues; Farshid Sepehrband; Emmanuel Caruyer ; Jeiran Choupan; Rachid Deriche ; Mathews Jacob; Gloria Menegaz; Vesna Prckovska; Mariano Rivera; Yves Wiaux; Jean-Philippe Thiran- Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI – IEEE Transactions on Medical Imaging, Volume: 33 , Issue: 2  Digital Object Identifier: 10.1109/TMI.2013.2285500  Publication Year: 2014 , Page(s): 384 – 399

[64] T. Megherbi, M. Kachouane, F. Oulebsir-Boumghar, and R. Deriche,  Crossing Fibers Detection with an Analytical High Order Tensor Decomposition – Computational and Mathematical Methods in Medicine, Volume 2014 (2014), Article ID 476837, 18 pages http://dx.doi.org/10.1155/2014/476837

[63] A. Ghosh, T. Milne, R. Deriche – Constrained diffusion kurtosis imaging using ternary quartics & MLE  – Magnetic Resonance in Medicine.- Article first published online: 2 Jul 2013 | DOI: 10.1002/mrm.24781http://onlinelibrary.wiley.com/doi/10.1002/mrm.24781/abstract

[62] S. Merlet, E.Caruyer, A. Ghosh, R. Deriche –   A computational diffusion MRI and parametric dictionary learning framework for modeling the diffusion signal and its features –  Medical Image Analysis – In Press, Accepted Manuscript – Available online 20 May 2013 – http://dx.doi.org/10.1016/j.media.2013.04.011

[61] S. Merlet, R. Deriche –Continuous diffusion signal, EAP and ODF estimation via Compressive Sensing in diffusion MRI –  Medical Image Analysis – Volume 17, Issue 5, July 2013, Pages 556–572 – Published online: 17-Apr-2013 – http://dx.doi.org/10.1016/j.media.2013.02.010

[60] E. Caruyer, C. Lenglet, G. Sapiro and R. Deriche – Design of multishell sampling schemes with uniform coverage in diffusion MRI– Magnetic Resonance in Medicine.- Article first published online: 26 Apr 2013 | http://dx.doi.org/10.1002/mrm.24736/abstract

[59] A. Ghosh, E. Tsigaridas, B. Mourrain, R. Deriche – A polynomial approach for extracting the extrema of a spherical function and its application in diffusion MRII – Medical Image Analysis – Volume 17, Issue 5, July 2013, Pages 503–514 – Published online 21 March 2013 – http://dx.doi.org/10.1016/j.media.2013.03.004

[58] M.Liu, B.C. Vemuri, R. Deriche – A Robust Variational Approach for Simultaneous Smoothing and Estimation of DTI– NeuroImage, Volume 67, 15 February 2013, Pages 33-41 – http://dx.doi.org/10.1016/j.neuroimage.2012.11.012

[57] E. Caruyer, I. Aganj, C. Lenglet, G. Sapiro and R. Deriche – Motion Detection in Diffusion MRI via Online ODF Estimation  – International Journal of Biomedical Imaging – Volume 2013 (2013), Article ID 849363. http://dx.doi.org/10.1155/2013/849363

[56] A. Ghosh, R. Deriche – Fast and Analytical EAP Approximation from a 4th-Order Tensor – International Journal of Biomedical Imaging – Volume 2012 (2012), Article ID 192730. pp. 1-9 http://dx.doi.org/10.1155/2012/192730

[55] E. Caruyer, R. Deriche – Diffusion MRI Signal Reconstruction with Continuity Constraint and Optimal Regularization . Medical Image Analysis, Elsevier, 2012, 16 (6), pp. 1113-1120.

[54] P. Katsaloulis, A. Ghosh, A.C. Philippe, A.  Provata, R.  Deriche – Fractality in the neuron axonal topography of the human brain based on 3-D diffusion MRI  – The European Physical Journal B – Condensed Matter and Complex Systems, 2012, 85(5), pp. 150-157

[53] J. Liu, S. Kabadi, R. Van Uitert, N. Petrick, R. Deriche, R.M. Summers.   Improved computer-aided detection of Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation.  Medical Physics, American Association of Physicists in Medicine, 2011, 38 (7)  4276-84.

[52] M. Descoteaux, R. Deriche, D. Le Bihan, J-F Mangin, C. Poupon – Multiple q-shell diffusion propagator imaging– Medical Image Analysis, Volume 15, Issue 4, August 2011, Pages 603-621 – Available online 14 July 2010.

[51] D. Wassermann, L. Bloy, E. Kanterakis, R. Verma, R. Deriche – Unsupervised white matter fiber clustering and tract probability map generation: Applications of a Gaussian process framework for white matter fibers –  Neuroimage, Volume 51, Issue 1, 15 May 2010, Pages 228-241

[50] T. Brox and M. Rousson and R. Deriche and J. Weickert – Colour, texture, and motion in level set based segmentation and tracking. – Image and Vision Computing, Volume 28 , Issue 3 (March 2010), Pages 376-390

[49] R. Deriche, Jeff Calder and M. Descoteaux – Optimal real-time Q-ball imaging using regularized Kalman filtering with incremental orientation Sets – Medical Image Analysis, Volume 13, Issue 4, August 2009, Pages 564-579. http://dx.doi.org/10.1016/j.media.2009.05.008

[48] M. Fussenegger and P. Roth and H. Bischof and R. Deriche and A. Pinz – A level set framework using a new incremental, robust Active Shape Model for object segmentation and tracking – Image and Vision Computing,Volume 27, Issue 8, 2 July 2009, Pages 1157-1168.

[47] C. Lenglet, E. Prados, J.P. Pons, R. Deriche, O. Faugeras. – Brain Connectivity Mapping using Riemannian Geometry, Control Theory and PDE’s – SIAM Journal on Imaging Sciences, 2(2), 285-322, April 2009.

[46] C. Delmaire, M. Vidailhet, D. Wassermann, M. Descoteaux, R. Valabregue, F. Bourdin, C. Lenglet, S. Sangla, A. Terrier, R. Deriche, S. Lehéricy. – Diffusion Abnormalities in the Primary Sensorimotor Pathways in Writer’s Cramp – Archives of Neurology, 66(4), 502-508, April 2009.

[45] C. Lenglet, J.S.W. Campbell, M. Descoteaux, G. Haro, P. Savadjiev, D. Wassermann, A. Anwander, R. Deriche, G.B. Pike, G. Sapiro, K. Siddiqi and P. Thompson. Mathematical Methods for Diffusion MRI Processing NeuroImage – special issue on Mathematics in Brain Imaging, Volume 45, Issue 1, Supplement 1, March 2009, Pages S111-S122.

[44] M. Descoteaux, R. Deriche, T. Knoesche and A. Anwander. Deterministic and Probabilistic Tractography Based on Complex Fiber Orientation Distributions. IEEE Transactions in Medical Imaging, Volume 28, Issue 2, February 2009, Pages 269-286.

[43] M. Descoteaux and R. Deriche. High Angular Resolution Diffusion MRI Segmentation Using Region-Based Statistical Surface Evolution Journal of Mathematical Imaging in Vision, special issue on Mathematics in Image Analysis , Volume 33, Number 2, Feburary 2009, Pages 239-252.

[42] R. Deriche and T. Papadopoulo. Le Cerveau dans tous ses états – La Recherche – Septembre 2008. No 422.

[41] R. de Luis-García, R. Deriche, C. Alberola-López, “Texture and Colour Segmentation based on the Combined Use of the Structure Tensor and the Image Components“, Signal Processing, vol 88, pp. 776-795, 2008.

[40] D. Wassermann, M. Descoteaux and R. Deriche. Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation. International Journal on Biomedical Imaging, special issue on Recent Advances in NeuroImaging Methodology , Volume 2008, 2008.

[39] M. Descoteaux and R. Deriche. IRM de diffusion a haute resolution angulaire (HARDI) : suivi de fibres au dela du DTI Deriche – Journal de Radiologie Volume 89, numéro 10 -Octobre 2008

[38] I. Kokkinos, R. Deriche, O. Faugeras and P. Maragos, Computational Analysis and Learning for a Biologically Motivated Model of Boundary Detection Neurocomputing, Vol. 71(10-12), pp. 1798-1812, 2008.

[37] M. Descoteaux and R. Deriche. Mapping neuronal fiber crossings in the human brain. SPIE Newsroom August 2008. DOI : 10.1117/2.1200807.1205.

[36] J. Cohen-Adad, M. Descoteaux, S. Rossignol, R. D Hoge, R. Deriche and H. Benali. Detection of multiple pathways in the spinal cord using q-ball imaging NeuroImage, Volume 42, Issue 2, 15 August 2008, Pages 739-749.

[35] P. Savadjiev, J. S.W. Campbell, M. Descoteaux, R. Deriche, G. B. Pike and K. Siddiqi. Labeling of ambiguous sub-voxel fibre bundle configurations in high angular resolution diffusion MRI. NeuroImage, Volume 41, Issue 1, Pages 58-68, 2008.

[34] C.A. Castaño Moraga, C. Lenglet, R. Deriche, J. Ruiz-Alzola A Riemannian Approach to Anisotropic Filtering of Tensor Fields Signal Processing Volume 87, Issue 2, Pages 217-352 (2007).

[33] D. Cremer, M. Rousson, R. Deriche Statistical Approaches to Level set segmentation : Integrating Color, Texture and Motion International Journal of Computer Vision, Volume 72, Number 2, Pages 195-215, (2007).

[32] M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche Regularized, Fast and Robust Analytical Q-Ball Imaging Magnetic Resonance in Medicine Volume 58, Issue 3, Pages 497-510, 2007.

[31] L. Alvarez, R. Deriche, T. Papadopoulo, X. Sanchez Symmetrical Dense Optical Flow Estimation with Occlusions Detection International Journal of Computer Vision – Volume 75 , Issue 3 pp :371 – 385, 2007).

[30] M. Descoteaux, E. Angelino, S. Fitzgibbons, R. Deriche Apparent Diffusion Coefficients from High Angular Resolution Diffusion Imaging : Estimation and Applications Magnetic Resonance in Medicine. Volume 56, Issue 2, Pages 395-410 (2006).

[29] C. Lenglet, M. Rousson, R. Deriche DTI Segmentation by Statistical Surface Evolution IEEE Transactions on Medical Imaging, Volume : 25 Issue : 6, Pages 685-700 (2006).

[28] C. Lenglet, M. Rousson, R. Deriche, O. Faugeras Statistics on the Manifold of Multivariate Normal Distributions : Theory and Application to Diffusion Tensor MRI Processing Journal of Mathematical Imaging and Vision, Volume 25, Number 3 Pages 423-444 (2006).

[27] R. Deriche, D. Tschumperlé, C. Lenglet and M. Rousson Variational Approaches to the Estimation, Regularization and Segmentation of Diffusion Tensor Images Mathematical Models in Computer Vision : The Handbook, Springer 2005.

[26] 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.

[25] David Tschumperlé 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.

[24] C. Chefd’hotel, D. Tschumperlé, R. Deriche, and O. Faugeras. Regularizing flows for constrained matrixvalued images. Journal of Mathematical Imaging and Vision, 20(1-2) :147-162, 2004.

[23] Faugeras, O. and Adde, G. and Charpiat, G. and Chefd’Hotel, C. and Clerc, M. and Deneux, T. and Deriche, R. and Hermosillo, G. and Keriven, R. and Kornprobst, P. and Kybic, J. and Lenglet, C. and Lopez-Perez, L. and Papadopoulo, T. and Pons, J.-P. and Ségonne, F. and Thirion, B. and Tschumperlé, D. and Viéville, T. and Wotawa, N. Variational, geometric, and statistical methods for modeling brain anatomy and function NeuroImage, Vol 23S1, pages S46-S55,2004.

[22] 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.

[21] D. Tschumperlé and R. Deriche. Diffusion PDE’s on Vector-Valued images. IEEE Signal Processing Magazine, 19(5) :16-25, 2002.

[20] D. Tschumperlé and R. Deriche. Orthonormal Vector Sets Regularization with PDE’s and Aplications. International Journal of Computer Vision (IJCV, Special Issue VLSM), 50 :237-252, 2002.

[19] 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.

[18] 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.

[17] 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.

[16] 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.

[15] 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.

[14] 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.

[13] G. Aubert, R. Deriche, and P. Kornprobst. Computing optical flow via variational techniques. SIAM Journal of Applied Mathematics, 60(1) :156-182, 1999.

[12] 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.

[11] 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.

[10] R. Deriche and O. Faugeras. Les EDP en Traitement des Images et Vision par Ordinateur. Traitement du Signal, 13(6), 1996.

[9] 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.

[8] R. Deriche and G. Giraudon. A computational approach for corner and vertex detection. The International Journal of Computer Vision, 10(2) :101-124, 1993.

[7] 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.

[6] 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.

[5] 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.

[4] 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.

[3] 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.

[2] R. Deriche. Fast algorithms for low-level vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(12) :78-88, January 1990.

[1] 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.