, Bases de l'acquisition comprimée 5

C. Abdelkader, H. H. , Y. Mezouar, N. Andre, and E. P. Martinet, 2 1/2 D visual servoing with central catadioptric cameras, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.35723577, 2005.
DOI : 10.1109/IROS.2005.1545327

P. Abolmaesumi, S. Salcudean, W. Zhu, S. P. Dimaio, and M. R. Sirouspour, A user interface for robot-assisted diagnostic ultrasound, Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), p.15491554, 2001.
DOI : 10.1109/ROBOT.2001.932831

P. Abolmaesumi, S. E. Salcudean, W. Zhu, M. R. Sirouspour, and S. P. Dimaio, Image-guided control of a robot for medical ultrasound, IEEE Transactions on Robotics and Automation, vol.18, issue.1, p.1123, 2002.
DOI : 10.1109/70.988970

S. Agreste, G. Andaloro, D. Prestipino, and E. L. Puccio, An image adaptive, wavelet-based watermarking of digital images, Journal of Computational and Applied Mathematics, vol.210, issue.1-2, p.1321, 2007.
DOI : 10.1016/j.cam.2006.10.087

B. Ahmaderaghi, J. M. Del-rincon, and F. Kurugollu, Bouridane 2014. Perceptual watermarking for discrete shearlet transform, Visual Information Processing (EUVIP), p.16, 2014.

F. Alkhalil, C. Et, and . Doignon, Stereo visual servoing with decoupling control, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.16711676, 2012.
DOI : 10.1109/IROS.2012.6385469

J. Allen, Short term spectral analysis, synthesis, and modication by discrete fourier transform, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol.25, issue.3, p.235238, 1977.

P. K. Allen, A. Timcenko, B. Yoshimi, and E. P. Michelman, Automated tracking and grasping of a moving object with a robotic hand-eye system, IEEE Transactions on Robotics and Automation, vol.9, issue.2, p.152165, 1993.
DOI : 10.1109/70.238279

N. Andre, B. Espiau, and E. R. Horaud, Visual servoing from lines, The International Journal of Robotics Research, vol.21, issue.8, p.679699, 2002.

F. Argoul, A. Arneodo, J. Elezgaray, G. Grasseau, and E. R. Murenzi, Wavelet analysis of the self-similarity of diusion-limited aggregates and electrodeposition clusters, Physical Review A, issue.10, p.415537, 1990.

M. Bakthavatchalam, F. Chaumette, and E. E. Marchand, Photometric moments: New promising candidates for visual servoing, 2013 IEEE International Conference on Robotics and Automation, pp.5241-5246, 2013.
DOI : 10.1109/ICRA.2013.6631326

URL : https://hal.archives-ouvertes.fr/hal-00821234

M. Barajas, J. P. Dávalos-viveros, S. Garcia-lumbreras, and E. J. Gordillo, Visual servoing of UAV using cuboid model with simultaneous tracking of multiple planar faces, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.596601, 2013.
DOI : 10.1109/IROS.2013.6696412

R. Baraniuk, P. Et, and . Steeghs, Compressive Radar Imaging, 2007 IEEE Radar Conference, p.128133, 2007.
DOI : 10.1109/RADAR.2007.374203

R. G. Baraniuk, Compressive Sensing [Lecture Notes], IEEE Signal Processing Magazine, vol.24, issue.4, p.118121, 2007.
DOI : 10.1109/MSP.2007.4286571

M. Barni, F. Bartolini, and E. A. Piva, Improved wavelet-based watermarking through pixel-wise masking, IEEE Transactions on Image Processing, vol.10, issue.5, p.783791, 2001.
DOI : 10.1109/83.918570

URL : https://www.researchgate.net/profile/Alessandro_Piva/publication/5602006_Improved_wavelet-based_watermarking_through_pixel-wise_masking/links/0046352aab94cb7fac000000.pdf

Q. Bateux, E. Et, and . Marchand, Histograms-Based Visual Servoing, IEEE Robotics and Automation Letters, vol.2, issue.1, p.8087, 2017.
DOI : 10.1109/LRA.2016.2535961

URL : https://hal.archives-ouvertes.fr/hal-01265560

Q. Bateux, E. Marchand, J. Leitner, and E. F. Chaumette, Visual servoing from deep neural networks. arXiv preprint, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01589887

S. Benhimane, E. Et, and . Malis, Homography-based 2D Visual Tracking and Servoing, The International Journal of Robotics Research, vol.16, issue.1, p.661676, 2007.
DOI : 10.1109/70.538974

G. Beylkin, R. Coifman, and E. V. Rokhlin, Fast wavelet transforms and numerical algorithms i, Communications on pure and applied mathematics, vol.44, issue.2, p.141183, 1991.
DOI : 10.1002/cpa.3160440202

T. Blumensath, M. E. Et, and . Davies, Iterative hard thresholding for compressed sensing Applied and computational harmonic analysis, p.265274, 2009.
DOI : 10.1016/j.acha.2009.04.002

URL : https://doi.org/10.1016/j.acha.2009.04.002

T. Blumensath and M. E. Davies, Rilling 2012. Greedy algorithms for compressed sensing, p.348393

J. N. Bradley, C. M. Et, and . Brislawn, The wavelet/scalar quantization compression standard for digital ngerprint images, Circuits and Systems, 1994. ISCAS'94 IEEE International Symposium on, p.205208, 1994.
DOI : 10.1109/iscas.1994.409142

P. Burt, E. Et, and . Adelson, The laplacian pyramid as a compact image code, IEEE Transactions on communications, vol.31, issue.4, p.532540, 1983.

T. T. Cai, A. Et, and . Zhang, Sparse Representation of a Polytope and Recovery of Sparse Signals and Low-Rank Matrices, IEEE Transactions on Information Theory, vol.60, issue.1, p.122132, 2014.
DOI : 10.1109/TIT.2013.2288639

E. Candes, D. Et, and . Donoho, Curvelets : A surprisingly eective nonadaptive representation for objects with edges, 2000.

E. Candes, J. Romberg, and E. T. Tao, Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information, IEEE Transactions on Information Theory, vol.52, issue.2, pp.489-509, 2006.
DOI : 10.1109/TIT.2005.862083

URL : http://www.ee.duke.edu/~lcarin/01580791.pdf

E. Candes, M. Et, and . Wakin, An Introduction To Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, p.2130, 2008.
DOI : 10.1109/MSP.2007.914731

E. J. Candès, B. Et, and . Recht, Exact Matrix Completion via Convex Optimization, Foundations of Computational Mathematics, vol.170, issue.1, p.717, 2009.
DOI : 10.1017/CBO9780511814068

E. J. Candes, J. K. Romberg, and E. T. Tao, Stable signal recovery from incomplete and inaccurate measurements, Communications on Pure and Applied Mathematics, vol.7, issue.8, p.5912071223, 2006.
DOI : 10.1017/CBO9780511804441

E. Candès, J. Et, and . Romberg, l1-magic : Recovery of Sparse Signals via Convex Programming, 2005.

F. Chaumette, Image Moments: A General and Useful Set of Features for Visual Servoing, IEEE Transactions on Robotics, vol.20, issue.4, p.713723, 2004.
DOI : 10.1109/TRO.2004.829463

URL : https://hal.archives-ouvertes.fr/inria-00352019

F. Chaumette, S. Et, and . Hutchinson, Visual servo control. I. Basic approaches, IEEE Robotics & Automation Magazine, vol.13, issue.4, p.8290, 2006.
DOI : 10.1109/MRA.2006.250573

URL : https://hal.archives-ouvertes.fr/inria-00350638

F. Chaumette, S. Et, and . Hutchinson, Visual servo control. II. Advanced approaches [Tutorial], IEEE Robotics & Automation Magazine, vol.14, issue.1, p.109118, 2007.
DOI : 10.1109/MRA.2007.339609

URL : https://hal.archives-ouvertes.fr/inria-00350638

F. Chaumette, P. Rives, and E. B. Espiau, Classication and realization of the dierent vision-based tasks, Visual Servoing : Real-Time Control of Robot Manipulators Based on Visual Sensory Feedback, 1993.

G. Chen, T. D. Bui, and E. A. Krzyzak, Image denoising using neighbouring wavelet coecients, Integrated Computer- Aided Engineering, vol.12, issue.1, p.99107, 2005.
DOI : 10.3233/ica-2005-12108

S. S. Chen, D. L. Donoho, and M. A. Saunders, Atomic decomposition by basis pursuit, SIAM review, vol.43, issue.1, p.129159, 2001.
DOI : 10.1137/s1064827596304010

URL : http://www-stat.stanford.edu/~donoho/Reports/1995/30401.pdf

Z. Chen, X. Hao, and E. Z. Sun, Image Denoising in Shearlet Domain by Adaptive Thresholding, Journal of Information and Computational Science, vol.10, issue.12, p.37413749, 2013.
DOI : 10.12733/jics20102616

A. Cherubini and F. Chaumette, Visual navigation of a mobile robot with laser-based collision avoidance, The International Journal of Robotics Research, vol.25, issue.8, p.189205, 2013.
DOI : 10.1177/0278364908098412

URL : https://hal.archives-ouvertes.fr/hal-00750623

G. Chesi, E. Malis, and E. R. Cipolla, Automatic segmentation and matching of planar contours for visual servoing, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), p.27532758, 2000.
DOI : 10.1109/ROBOT.2000.846444

C. Chilowsky, P. Et, and . Langevin, Procédés et appareils pour la production de signaux sous-marins dirigés et pour la localisation à distance d'obstacles sous-marins, p.502913, 1916.

C. Christopoulos, A. Skodras, and E. T. Ebrahimi, The JPEG2000 still image coding system: an overview, IEEE transactions on consumer electronics, p.11031127, 2000.
DOI : 10.1109/30.920468

URL : https://infoscience.epfl.ch/record/111816/files/26 The JPEG2000 still image coding system - An overview.pdf

C. Collewet, Contributions à l'élargissement du champ applicatif des asservissements visuels 2D, 1999.

C. Collewet, E. Et, and . Marchand, Photometric Visual Servoing, IEEE Transactions on Robotics, vol.27, issue.4, p.828834, 2011.
DOI : 10.1109/TRO.2011.2112593

URL : https://hal.archives-ouvertes.fr/inria-00629834

C. Collewet, E. Marchand, and E. F. Chaumette, Visual servoing set free from image processing, 2008 IEEE International Conference on Robotics and Automation, p.8186, 2008.
DOI : 10.1109/ROBOT.2008.4543190

URL : https://hal.archives-ouvertes.fr/inria-00261398

J. W. Cooley, J. W. Et, and . Tukey, An algorithm for the machine calculation of complex Fourier series, Mathematics of Computation, vol.19, issue.90, p.297301, 1965.
DOI : 10.1090/S0025-5718-1965-0178586-1

N. Crombez, G. Caron, and E. M. Mouaddib, Photometric Gaussian mixtures based visual servoing, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p.54865491, 2015.
DOI : 10.1109/IROS.2015.7354154

URL : https://hal.archives-ouvertes.fr/hal-01198502

J. Curie, Développement par compression de l'électricité polaire dans les cristaux hémièdres à faces inclinées, Bull. Soc. Fr. Mineral, vol.3, p.90, 1880.

A. Dame and E. Marchand, Mutual Information-Based Visual Servoing, IEEE Transactions on Robotics, vol.27, issue.5, p.958969, 2011.
DOI : 10.1109/TRO.2011.2147090

URL : https://hal.archives-ouvertes.fr/hal-00639674

I. Daubechies, Orthonormal bases of compactly supported wavelets, Communications on pure and applied mathematics, vol.41, issue.7, p.909996, 1988.

I. Daubechies, M. Defrise, and C. D. Mol, An iterative thresholding algorithm for linear inverse problems with a sparsity constraint, Communications on Pure and Applied Mathematics, vol.58, issue.11, p.5714131457, 2004.
DOI : 10.1016/S0165-1684(03)00150-6

URL : http://onlinelibrary.wiley.com/doi/10.1002/cpa.20042/pdf

M. A. Davenport, M. F. Duarte, Y. C. Eldar, and E. G. Kutyniok, Introduction to compressed sensing, 2011.
DOI : 10.1017/CBO9780511794308.002

K. Deguchi, T. Et, and . Noguchi, Visual servoing using eigenspace method and dynamic calculation of interaction matrices, Proceedings of 13th International Conference on Pattern Recognition, p.302306, 1996.
DOI : 10.1109/ICPR.1996.546038

B. Delabarre, E. Et, and . Marchand, Visual servoing using the sum of conditional variance, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.16891694, 2012.
DOI : 10.1109/IROS.2012.6385540

URL : https://hal.archives-ouvertes.fr/hal-00750602

X. Delaunay, M. Chabert, V. Charvillat, and E. G. Morin, Satellite image compression by post-transforms in the wavelet domain, Signal Processing, vol.90, issue.2, pp.599-610, 2010.
DOI : 10.1016/j.sigpro.2009.07.024

M. Do, M. Et, G. V. Vetterli, and . Welland, Contourlets. In Beyond wavelets, p.127, 2003.

C. Doignon, A single 3-D feature-based visual servoing, 2015 20th International Conference on Methods and Models in Automation and Robotics (MMAR), p.4146, 2015.
DOI : 10.1109/MMAR.2015.7283703

D. Donoho, Sparse Components of Images and Optimal Atomic Decompositions, Constructive Approximation, vol.17, issue.3, p.353382, 2001.
DOI : 10.1007/s003650010032

D. Donoho, A. Maleki, and E. A. Montanari, Message passing algorithms for compressed sensing: I. motivation and construction, IEEE Information Theory Workshop 2010 (ITW 2010), p.15, 2010.
DOI : 10.1109/ITWKSPS.2010.5503193

D. L. Donoho, I. M. Et, and . Johnstone, Threshold selection for wavelet shrinkage of noisy data Engineering Advances : New Opportunities for Biomedical Engineers, Proceedings of the 16th Annual International Conference of the IEEE, pp.24-25, 1994.

T. Drummond, R. Et, and . Cipolla, Real-Time Tracking of Complex Structures for Visual Servoing, International Workshop on Vision Algorithms, p.6984, 1999.
DOI : 10.1007/3-540-44480-7_5

M. F. Duarte, M. A. Davenport, D. Takhar, J. N. Laska, T. Sun et al., Single-pixel imaging via compressive sampling, IEEE Signal Processing Magazine, vol.25, issue.2, p.8391, 2008.
DOI : 10.1109/MSP.2007.914730

L. Duot, A. Krupa, and B. Tamadazte, Andre 2016a. Shearlet-based vs. photometric-based visual servoing for robot-assisted medical applications, IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, IROS'16

L. A. Duot, A. Krupa, B. Tamadazte, and E. N. Andre, Shearlet transform : A good candidate for compressed sensing in optical coherence tomography, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, p.435438, 2016.

L. Duot, A. Krupa, B. Tamadazte, and E. N. Andre, Toward ultrasound-based visual servoing using shearlet coecients, IEEE Int. Conf. on Robotics and Automation, p.16, 2016.

L. A. Duot, R. Reisenhofer, B. Tamadazte, N. Andre, and E. A. Krupa, Wavelet and shearlet-based image representations for visual servoing, The International Journal of Robotics Research, 2018.

K. T. Dussik, Über die möglichkeit, hochfrequente mechanische schwingungen als diagnostisches hilfsmittel zu verwerten. Zeitschrift für die gesamte Neurologie und Psychiatrie, p.153168, 1942.

G. Easley, D. Labate, and E. F. Colonna, Shearlet-based total variation diusion for denoising, IEEE Transactions on Image processing, vol.18, issue.2, p.260268, 2009.

G. Easley, D. Labate, and W. Lim, Sparse directional image representations using the discrete shearlet transform, Applied and Computational Harmonic Analysis, vol.25, issue.1, p.2546, 2008.
DOI : 10.1016/j.acha.2007.09.003

B. J. Erickson, A. Manduca, P. Palisson, K. R. Persons, F. Earnest-4th et al., Wavelet compression of medical images., Radiology, vol.206, issue.3, p.206599607, 1998.
DOI : 10.1148/radiology.206.3.9494473

B. Espiau, Eect of camera calibration errors on visual servoing in robotics, Experimental robotics III, p.182192, 1994.

B. Espiau and F. Chaumette, Rives 1992. A new approach to visual servoing in robotics, ieee Transactions on Robotics and Automation, vol.8, issue.3, p.313326

L. Fang, S. Li, D. Cunefare, and E. S. Farsiu, Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images, IEEE Transactions on Medical Imaging, vol.36, issue.2, p.407421, 2017.
DOI : 10.1109/TMI.2016.2611503

L. Fang, S. Li, R. Mcnabb, Q. Nie, A. Kuo et al., Fast acquisition and reconstruction of optical coherence tomography images via sparse representation, Medical Imaging IEEE Transactions on, issue.11, p.3220342049, 2013.

J. T. Feddema, O. R. Et, and . Mitchell, Vision-guided servoing with feature-based trajectory generation (for robots), IEEE Transactions on Robotics and Automation, vol.5, issue.5, p.691700, 1989.
DOI : 10.1109/70.88086

A. Fercher, In vivo optical coherence tomography in ophthalmology, Medical optical tomography : functional imaging and monitoring, volume 10311, P. 103110L. International Society for Optics and Photonics, 1993.

J. Fourier,

P. M. Theorie-analytique-de-la-chaleur and . Fourier, Chez Firmin Didot

J. G. Fujimoto, Optical coherence tomography for ultrahigh resolution in vivo imaging, Nature Biotechnology, vol.21, issue.11, p.13611367, 2003.
DOI : 10.1038/nbt892

D. Gabor, Theory of communication. part 1 : The analysis of information. Electrical Engineers -Part III : Radio and Communication Engineering, Journal of the Institution, issue.26, p.93429441, 1946.

J. A. Ganglo and M. De-mathelin, Abba 1998. 6 dof high speed dynamic visual servoing using gpc controllers, Robotics and Automation Proceedings. 1998 IEEE International Conference on, 1998.

C. Garcia, G. Et, and . Tziritas, Face detection using quantized skin color regions merging and wavelet packet analysis, IEEE Transactions on Multimedia, vol.1, issue.3, p.264277, 1999.
DOI : 10.1109/6046.784465

A. C. Gilbert, M. J. Strauss, J. A. Tropp, and E. R. Vershynin, One sketch for all, Proceedings of the thirty-ninth annual ACM symposium on Theory of computing , STOC '07, p.237246, 2007.
DOI : 10.1145/1250790.1250824

S. Grgic, M. Grgic, and B. Zovko-cihlar, Performance analysis of image compression using wavelets, IEEE Transactions on Industrial Electronics, vol.48, issue.3, p.682695, 2001.
DOI : 10.1109/41.925596

A. Haar, Zur theorie der orthogonalen funktionensysteme, Mathematische Annalen, vol.69, issue.3, p.331371, 1910.
URL : https://hal.archives-ouvertes.fr/hal-01333722

H. Hadj-abdelkader, Y. Mezouar, N. Andre, and E. P. Martinet, Decoupled Homography-based Visual Servoing with Omnidirectional Cameras, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.23322337, 2006.
DOI : 10.1109/IROS.2006.282642

H. Hadj-abdelkader, Y. Mezouar, N. Andre, and E. P. Martinet, Omnidirectional visual servoing from polar lines, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006., pp.2385-2390, 2006.
DOI : 10.1109/ROBOT.2006.1642059

URL : https://hal.archives-ouvertes.fr/hal-00100519

M. Han, D. Chang, C. Kim, B. J. Lee, Y. Zuo et al., Geometric Evaluation of Systematic Transrectal Ultrasound Guided Prostate Biopsy, The Journal of Urology, vol.188, issue.6, p.24042409, 2012.
DOI : 10.1016/j.juro.2012.07.107

S. Häuser, G. Et, and . Steidl, Fast nite shearlet transform. arXiv preprint, 2012.

J. Heikkila, O. Et, and . Silven, A four-step camera calibration procedure with implicit image correction, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.11061112, 1997.
DOI : 10.1109/CVPR.1997.609468

T. Heitzmann, C. Doignon, C. Albitar, and E. P. Graebling, Position-based visual servoing using a coded structured light sensor, 2008 International Workshop on Robotic and Sensors Environments, pp.126-131, 2008.
DOI : 10.1109/ROSE.2008.4669193

F. J. Herrmann, M. P. Friedlander, and E. O. Yilmaz, Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology, IEEE Signal Processing Magazine, vol.29, issue.3, p.2988100, 2012.
DOI : 10.1109/MSP.2012.2185859

F. J. Herrmann, G. Et, and . Hennenfent, Non-parametric seismic data recovery with curvelet frames, Geophysical Journal International, vol.72, issue.1, p.233248, 2008.
DOI : 10.1137/1.9780898717570

J. Hong, T. Dohi, M. Hashizume, K. Konishi, and E. N. Hata, An ultrasound-driven needle-insertion robot for percutaneous cholecystostomy, Physics in Medicine and Biology, vol.49, issue.3, p.49441, 2004.
DOI : 10.1088/0031-9155/49/3/007

B. Horn, B. Et, and . Schunck, Determining optical ow, Articial intelligence, vol.17, issue.1-3, p.185203, 1981.

G. Huang, H. Jiang, K. Matthews, and E. P. Wilford, Lensless imaging by compressive sensing, 2013 IEEE International Conference on Image Processing, p.21012105, 2013.
DOI : 10.1109/ICIP.2013.6738433

URL : http://arxiv.org/pdf/1305.7181

J. Huang, L. Zhu, and L. Wang, Compressed sensing mri using sparsity averaging and sta, Applied Magnetic Resonance, issue.8, p.48749760, 2017.
DOI : 10.1007/s00723-017-0910-0

S. Hutchinson, G. D. Hager, and P. I. Corke, A tutorial on visual servo control, IEEE Transactions on Robotics and Automation, vol.12, issue.5, p.651670, 1996.
DOI : 10.1109/70.538972

M. Iwatsuki, N. Et, and . Okiyama, A new formulation of visual servoing based on cylindrical coordinate system, IEEE Transactions on Robotics, vol.21, issue.2, p.266273, 2005.
DOI : 10.1109/TRO.2004.837242

V. Kallem, Vision-based control on lie groups with application to needle steering, 2009.

V. Kallem, M. Dewan, J. P. Swensen, G. D. Hager, and N. J. Cowan, Kernel-based visual servoing, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2007.
DOI : 10.1109/IROS.2007.4399546

D. Kim, R. Lovelett, and E. A. Behal, Eye-in-hand stereo visual servoing of an assistive robot arm in unstructured environments, 2009 IEEE International Conference on Robotics and Automation, p.23262331, 2009.
DOI : 10.1109/ROBOT.2009.5152821

E. King, G. Kutyniok, and W. Lim, Image inpainting : theoretical analysis and comparison of algorithms, SPIE Optical Engineering+ Applications, Pp. 885802885802. International Society for Optics and Photonics, 2013.
DOI : 10.1117/12.2025401

Y. Kobayashi, M. Suzuki, A. Kato, M. Hatano, K. Konishi et al., Enhanced Targeting in Breast Tissue Using a Robotic Tissue Preloading-Based Needle Insertion System, IEEE Transactions on Robotics, vol.28, issue.3, p.710722, 2012.
DOI : 10.1109/TRO.2012.2183055

D. Kragic, Visual servoing for manipulation : Robustness and integration issues, IEEE transactions on robotics and automation, p.230, 2001.

A. Krupa, G. Fichtinger, and G. D. Hager, Full Motion Tracking in Ultrasound Using Image Speckle Information and Visual Servoing, Proceedings 2007 IEEE International Conference on Robotics and Automation, p.24582464, 2007.
DOI : 10.1109/ROBOT.2007.363688

URL : https://hal.archives-ouvertes.fr/inria-00350650

A. Krupa, D. Folio, C. Novales, P. Vieyres, and E. T. Li, Robotized Tele-Echography: An Assisting Visibility Tool to Support Expert Diagnostic, IEEE Systems Journal, vol.10, issue.3, p.974983, 2016.
DOI : 10.1109/JSYST.2014.2314773

URL : https://hal.archives-ouvertes.fr/hal-00986875

A. Krupa, J. Ganglo, C. Doignon, M. De-mathelin, G. Morel et al., Autonomous 3-d positioning of surgical instruments in robotized laparoscopic surgery using visual servoing, IEEE Transactions on Robotics and Automation, vol.19, issue.5, pp.842-853, 2003.
DOI : 10.1109/TRA.2003.817086

D. Kundur, D. Et, and . Hatzinakos, Digital watermarking using multiresolution wavelet decomposition, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), p.29692972, 1998.
DOI : 10.1109/ICASSP.1998.678149

URL : http://www.ee.tamu.edu/%7Edeepa/pub/KunHatICASSP98.pdf

G. Kutyniok, D. Et, and . Labate, Introduction to Shearlets, Shearlets, p.138, 2012.
DOI : 10.1007/978-0-8176-8316-0_1

URL : http://www.math.uh.edu/~dlabate/SHBookIntro.pdf

G. Kutyniok, D. Et, and . Labate, Shearlets : Multiscale analysis for multivariate data, 2012.
DOI : 10.1007/978-0-8176-8316-0

G. Kutyniok, W. Et, and . Lim, Image Separation Using Wavelets and Shearlets, International Conference on Curves and Surfaces, p.416430, 2010.
DOI : 10.1109/TIP.2005.852206

URL : http://arxiv.org/pdf/1101.0553.pdf

G. Kutyniok, W. Lim, and E. R. Reisenhofer, ShearLab 3D, ACM Transactions on Mathematical Software, vol.42, issue.1, p.5, 2016.
DOI : 10.1007/s10851-010-0231-5

URL : http://arxiv.org/pdf/1402.5670

G. Kutyniok, P. Et, and . Petersen, Classication of edges using compactly supported shearlets, Applied and Computational Harmonic Analysis, 2015.
DOI : 10.1016/j.acha.2015.08.006

URL : http://arxiv.org/pdf/1411.5657

G. Kutyniok, M. Shahram, and E. X. Zhuang, ShearLab: A Rational Design of a Digital Parabolic Scaling Algorithm, SIAM Journal on Imaging Sciences, vol.5, issue.4, p.12911332, 2012.
DOI : 10.1137/110854497

D. Labate, W. Lim, G. Kutyniok, and E. G. Weiss, Sparse multidimensional representation using shearlets, Wavelets XI, pp.59140-59140, 2005.
DOI : 10.1117/12.613494

URL : http://www4.ncsu.edu/~dlabate/shear_SPIE.pdf

L. Gall and D. , MPEG: a video compression standard for multimedia applications, Communications of the ACM, vol.34, issue.4, p.4658, 1991.
DOI : 10.1145/103085.103090

E. Lebed, P. J. Mackenzie, M. V. Sarunic, and M. F. Beg, Rapid Volumetric OCT Image Acquisition Using Compressive Sampling, Optics Express, vol.18, issue.20, p.182100321012, 2010.
DOI : 10.1364/OE.18.021003

D. Lee, N. Koizumi, K. Ota, S. Yoshizawa, A. Ito et al., Ultrasound-based visual servoing system for lithotripsy, Intelligent Robots and Systems IROS 2007. IEEE/RSJ International Conference on, pp.877-882, 2007.

R. Leitgeb, C. K. Hitzenberger, and A. F. Fercher, Performance of fourier domain vs time domain optical coherence tomography, Optics Express, vol.11, issue.8, p.11889894, 2003.
DOI : 10.1364/OE.11.000889

H. Li, B. Manjunath, and S. K. Mitra, Multisensor image fusion using the wavelet transform. Graphical models and image processing, p.235245, 1995.
DOI : 10.1006/gmip.1995.1022

T. Li, A. Krupa, and C. Collewet, A robust parametric active contour based on fourier descriptors, 2011 18th IEEE International Conference on Image Processing, p.10371040, 2011.
DOI : 10.1109/ICIP.2011.6115601

URL : https://hal.archives-ouvertes.fr/hal-00645326

H. Liebgott, A. Basarab, D. Kouame, O. Bernard, and E. D. Friboulet, Compressive sensing in medical ultrasound, 2012 IEEE International Ultrasonics Symposium, p.16, 2012.
DOI : 10.1109/ULTSYM.2012.0486

URL : https://hal.archives-ouvertes.fr/hal-00830731

V. Lippiello, B. Siciliano, and E. L. Villani, Position-based visual servoing in industrial multirobot cells using a hybrid camera conguration, IEEE Transactions on Robotics, vol.23, issue.1, p.7386, 2007.
DOI : 10.1109/tro.2006.886832

X. Liu, J. U. Et, and . Kang, Compressive SD-OCT: the application of compressed sensing in spectral domain optical coherence tomography, Optics Express, vol.18, issue.21, p.182201022019, 2010.
DOI : 10.1364/OE.18.022010

G. D. Ludwig, F. W. Et, N. Struthers, and . Md, Considerations underlying the use of ultrasound to detect gallstones and foreign bodies in tissue, 1949.

M. Lustig, D. Donoho, and J. M. Pauly, Sparse MRI: The application of compressed sensing for rapid MR imaging, Magnetic Resonance in Medicine, vol.170, issue.6, p.5811821195, 2007.
DOI : 10.1002/mrm.21391

A. M. Lyapunov, The general problem of the stability of motion, International journal of control, vol.55, issue.3, p.531534, 1992.

E. Malis, F. Et, and . Chaumette, 2d1/2 visual servoing with respect to unknown objects through a new estimation scheme of camera displacement, International Journal of Computer Vision, vol.37, issue.1, p.7997, 2000.

E. Malis, Y. Mezouar, and E. P. Rives, Robustness of Image-Based Visual Servoing With a Calibrated Camera in the Presence of Uncertainties in the Three-Dimensional Structure, IEEE Transactions on Robotics, vol.26, issue.1, p.112120, 2010.
DOI : 10.1109/TRO.2009.2033332

V. Mallapragada, N. Sarkar, and T. K. Podder, Toward a Robot-Assisted Breast Intervention System, IEEE/ASME Transactions on Mechatronics, vol.16, issue.6, p.10111020, 2011.
DOI : 10.1109/TMECH.2010.2068575

S. Mallat, A theory for multiresolution signal decomposition : the wavelet representation, IEEE transactions on pattern analysis and machine intelligence, vol.11, issue.7, p.674693, 1989.
DOI : 10.1515/9781400827268.494

URL : https://repository.upenn.edu/cgi/viewcontent.cgi?article=1703&context=cis_reports

J. Mao, W. Et, and . Chao, Pedestrian detection via Wavelet Fractal Signature and Support Vector Machine, 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), pp.5111-5115, 2010.
DOI : 10.1109/ICCASM.2010.5619248

E. Marchand, C. Et, and . Collewet, Using image gradient as a visual feature for visual servoing, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.56875692, 2010.
DOI : 10.1109/IROS.2010.5652627

URL : https://hal.archives-ouvertes.fr/inria-00544788

É. Marchand, F. Spindler, and E. F. Chaumette, ViSP for visual servoing: a generic software platform with a wide class of robot control skills, IEEE Robotics & Automation Magazine, vol.12, issue.4, p.4052, 2005.
DOI : 10.1109/MRA.2005.1577023

URL : https://hal.archives-ouvertes.fr/inria-00351899

M. Mardanpour, M. A. Et, and . Chahooki, Robust transparent image watermarking with Shearlet transform and bidiagonal singular value decomposition, AEU - International Journal of Electronics and Communications, vol.70, issue.6, p.790798, 2016.
DOI : 10.1016/j.aeue.2016.03.004

D. W. Marquardt, An Algorithm for Least-Squares Estimation of Nonlinear Parameters, Journal of the Society for Industrial and Applied Mathematics, vol.11, issue.2, p.431441, 1963.
DOI : 10.1137/0111030

V. Martin, M. Chabert, and E. B. Lacaze, An interpolation-based watermarking scheme, Signal Processing, vol.88, issue.3, pp.539-557, 2008.
DOI : 10.1016/j.sigpro.2007.08.016

N. Marturi, B. Tamadazte, S. Dembélé, and E. N. Piat, Image-Guided Nanopositioning Scheme for SEM, IEEE Transactions on Automation Science and Engineering, vol.15, issue.1, 2016.
DOI : 10.1109/TASE.2016.2580660

K. Máthé, L. Bu³oniu, L. Barabás, C. I. Iuga, L. Miclea et al., Vision-based control of a quadrotor for an object inspection scenario, 2016 International Conference on Unmanned Aircraft Systems (ICUAS), p.849857, 2016.
DOI : 10.1109/ICUAS.2016.7502522

M. Mayya, C. Et, and . Doignon, Visual tracking of small animals based on real-time Level Set Method with fast infra-red thermographic imaging, 2011 IEEE International Symposium on Robotic and Sensors Environments (ROSE), p.6064, 2011.
DOI : 10.1109/ROSE.2011.6058543

R. Mebarki and A. Krupa, Chaumette 2010. 2-d ultrasound probe complete guidance by visual servoing using image moments, IEEE Transactions on Robotics, vol.26, issue.2, p.296306

Y. Meyer, Ondelettes, fonctions splines et analyses graduées. Lectures given at the University of, 1986.

Y. Mezouar, H. H. Abdelkader, P. Martinet, and E. F. Chaumette, Central catadioptric visual servoing from 3D straight lines, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566), p.343348, 2004.
DOI : 10.1109/IROS.2004.1389375

URL : https://hal.archives-ouvertes.fr/inria-00352033

H. Michel, P. Et, and . Rives, Singularities in the determination of the situation of a robot eector from the perspective view of 3 points, 1993.

A. A. Michelson and E. W. Morley, On the relative motion of the earth and of the luminiferous ether, Sidereal Messenger, vol.6, issue.6, pp.306-310306310, 1887.

C. Nadeau, A. Et, and . Krupa, Intensity-based direct visual servoing of an ultrasound probe, 2011 IEEE International Conference on Robotics and Automation, p.56775682, 2011.
DOI : 10.1109/ICRA.2011.5979673

URL : https://hal.archives-ouvertes.fr/hal-00639689

C. Nadeau, A. Et, and . Krupa, Intensity-Based Ultrasound Visual Servoing: Modeling and Validation With 2-D and 3-D Probes, IEEE Transactions on Robotics, vol.29, issue.4, p.10031015, 2013.
DOI : 10.1109/TRO.2013.2256690

URL : https://hal.archives-ouvertes.fr/hal-00854100

C. Nadeau, A. Krupa, and J. Petr, Barillot 2016. Moments-based ultrasound visual servoing : From a mono-to multiplane approach, IEEE Transactions on Robotics, vol.32, issue.6, p.15581564

D. Nakhaeinia, P. Payeur, and E. R. Laganière, Adaptive robotic contour following from low accuracy rgb-d surface proling and visual servoing, Computer and Robot Vision (CRV), 2014 Canadian Conference on, p.4855, 2014.
DOI : 10.1109/crv.2014.15

S. K. Nayar, S. A. Nene, and E. H. Murase, Subspace methods for robot vision, IEEE Transactions on Robotics and Automation, vol.12, issue.5, p.750758, 1996.
DOI : 10.1109/70.538979

Y. Nesterov, Gradient methods for minimizing composite objective function, 2007.
DOI : 10.1007/s10107-012-0629-5

Z. Neubach, M. Et, and . Shoham, Ultrasound-guided robot for exible needle steering, IEEE Transactions on Biomedical Engineering, vol.57, issue.4, p.799805, 2010.
DOI : 10.1109/tbme.2009.2030169

J. Nunez, X. Otazu, O. Fors, A. Prades, V. Pala et al., Multiresolution-based image fusion with additive wavelet decomposition, IEEE Transactions on Geoscience and Remote Sensing, vol.37, issue.3, p.12041211, 1999.
DOI : 10.1109/36.763274

URL : http://diposit.ub.edu/dspace/bitstream/2445/8545/1/500850.pdf

M. Oren, C. Papageorgiou, P. Sinha, E. Osuna, and E. T. Poggio, Pedestrian detection using wavelet templates, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.193199, 1997.
DOI : 10.1109/CVPR.1997.609319

URL : http://www.ai.mit.edu/people/cpapa/publications/ped-wav-temp-cvpr97.ps.gz

M. Ourak, A. D. Simone, B. Tamadazte, G. J. Laurent, A. Menciassi et al., Automated in-plane OCT-probe positioning towards repetitive optical biopsies, 2016 IEEE International Conference on Robotics and Automation (ICRA), p.41864191, 2016.
DOI : 10.1109/ICRA.2016.7487612

M. Ourak, B. Tamadazte, and E. N. Andre, Partitioned camera-OCT based 6 DOF visual servoing for automatic repetitive optical biopsies, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), p.23372342, 2016.
DOI : 10.1109/IROS.2016.7759364

M. Ourak, B. Tamadazte, and O. Lehmann, Andre 2016c. Wavelets-based 6 dof visual servoing, 2016 IEEE International Conference on Robotics and Automation (ICRA), p.34143419

G. Pajares, J. M. Et, L. De, and . Cruz, A wavelet-based image fusion tutorial, Pattern recognition, vol.37, issue.9, p.18551872, 2004.

S. Pejoski, V. Kafedziski, and E. D. Gleich, Compressed sensing mri using discrete nonseparable shearlet transform and sta, IEEE Signal Processing Letters, issue.10, p.2215661570, 2015.
DOI : 10.1109/lsp.2015.2414443

M. C. Pierce, J. Strasswimmer, B. H. Park, B. Cense, and J. F. De-boer, Advances in Optical Coherence Tomography Imaging for Dermatology, Journal of Investigative Dermatology, vol.123, issue.3, p.458463, 2004.
DOI : 10.1111/j.0022-202X.2004.23404.x

M. D. Plumbley, T. Blumensath, L. Daudet, R. Gribonval, and M. E. Davies, Sparse Representations in Audio and Music: From Coding to Source Separation, Proceedings of the IEEE, p.9951005, 2010.
DOI : 10.1109/JPROC.2009.2030345

URL : https://hal.archives-ouvertes.fr/inria-00489524

C. A. Puliato, M. R. Hee, C. P. Lin, E. Reichel, J. S. Schuman et al., Imaging of macular diseases with optical coherence tomography, Ophthalmology, vol.102, issue.2, p.217229, 1995.

S. Qaisar, R. Bilal, W. Iqbal, M. Naureen, and E. S. Lee, Compressive sensing: From theory to applications, a survey, Communications and Networks, p.443456, 2013.
DOI : 10.1109/JCN.2013.000083

X. Qu, X. Cao, D. Guo, C. Hu, and E. Z. Chen, Compressed sensing MRI with combined sparsifying transforms and smoothed l<inf>0</inf> norm minimization, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, p.626629, 2010.
DOI : 10.1109/ICASSP.2010.5495174

URL : http://people.duke.edu/%7Ech237/Papers/XQ_ICASSP10.pdf

X. Qu, W. Zhang, D. Guo, C. Cai, S. Cai et al., Iterative thresholding compressed sensing MRI based on contourlet transform, Inverse Problems in Science and Engineering, vol.4, issue.6, p.737758, 2010.
DOI : 10.1049/el.2010.1845

C. Quinsac, A. Basarab, and E. D. Kouamé, Frequency domain compressive sampling for ultrasound imaging Advances in Acoustics and Vibration, 2012.
DOI : 10.1155/2012/231317

URL : https://doi.org/10.1155/2012/231317

B. S. Reddy, B. N. Et, and . Chatterji, An FFT-based technique for translation, rotation, and scale-invariant image registration, IEEE Transactions on Image Processing, vol.5, issue.8, p.12661271, 1996.
DOI : 10.1109/83.506761

R. Reisenhofer, J. Kiefer, and E. E. King, Shearlet-based detection of ame fronts, Experiments in Fluids, vol.57, issue.3, p.114, 2016.

R. Richa, R. Sznitman, R. Taylor, and E. G. Hager, Visual tracking using the sum of conditional variance, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.29532958, 2011.
DOI : 10.1109/IROS.2011.6094650

P. Rieder, J. A. Et, and . Nossek, Implementation of orthogonal wavelet transforms and their applications, Proceedings IEEE International Conference on Application-Specific Systems, Architectures and Processors, p.489498, 1997.
DOI : 10.1109/ASAP.1997.606854

B. Rioul, O. Et, and M. Vetterli, Wavelets and signal processing, IEEE Signal Processing Magazine, vol.8, issue.4, p.1438, 1991.
DOI : 10.1109/79.91217

J. Romberg, Imaging via Compressive Sampling, IEEE Signal Processing Magazine, vol.25, issue.2, p.1420, 2008.
DOI : 10.1109/MSP.2007.914729

URL : http://users.ece.gatech.edu/~justin/spmag/assets/csup-short.pdf

S. Sardy, P. Tseng, and E. A. Bruce, Robust wavelet denoising, IEEE Transactions on Signal Processing, vol.49, issue.6, p.11461152, 2001.
DOI : 10.1109/78.923297

G. Satat, M. Tancik, and E. R. Raskar, Lensless Imaging With Compressive Ultrafast Sensing, IEEE Transactions on Computational Imaging, vol.3, issue.3, p.398407, 2017.
DOI : 10.1109/TCI.2017.2684624

URL : http://arxiv.org/pdf/1610.05834

J. S. Schuman, M. R. Hee, A. V. Arya, T. Pedut-kloizman, C. A. Puliato et al., Optical coherence tomography: A new tool for glaucoma diagnosis, Current Opinion in Ophthalmology, vol.6, issue.2, p.8995, 1995.
DOI : 10.1097/00055735-199504000-00014

C. E. Shannon, A mathematical theory of communication. Bell system technical journal, p.379423, 1948.

M. Shih and . Tseng, A wavelet-based multiresolution edge detection and tracking, Image and Vision Computing, vol.23, issue.4, p.441451, 2005.
DOI : 10.1016/j.imavis.2004.11.005

Y. Shirai and H. Inoue, Guiding a robot by visual feedback in assembling tasks, Pattern Recognition, vol.5, issue.2, p.99108, 1973.
DOI : 10.1016/0031-3203(73)90015-0

E. Simoncelli, W. Et, and . Freeman, The steerable pyramid: a flexible architecture for multi-scale derivative computation, Proceedings., International Conference on Image Processing, p.444447, 1995.
DOI : 10.1109/ICIP.1995.537667

URL : http://www.merl.com/papers/docs/TR1995-15.pdf

D. S. Smith, J. C. Gore, T. E. Yankeelov, and E. B. Welch, Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods, International Journal of Biomedical Imaging, vol.2, issue.1, 2012.
DOI : 10.1137/080725891

URL : http://downloads.hindawi.com/journals/ijbi/2012/864827.pdf

G. Strang, T. Et, and . Nguyen, Wavelets and lter banks, 1996.

P. F. Sturm, S. J. Et, and . Maybank, On plane-based camera calibration: A general algorithm, singularities, applications, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), p.432437, 1999.
DOI : 10.1109/CVPR.1999.786974

URL : https://hal.archives-ouvertes.fr/inria-00525681

J. W. Sublett, B. J. Dempsey, and A. C. Weaver, Design and implementation of a digital teleultrasound system for real-time remote diagnosis, Proceedings Eighth IEEE Symposium on Computer-Based Medical Systems, p.292298, 1995.
DOI : 10.1109/CBMS.1995.465413

E. Swanson, J. Izatt, M. Bee, D. Huang, C. Lin et al., Optical Coherence Tomography, LEOS '92 Conference Proceedings, p.656657, 1992.
DOI : 10.1109/LEOS.1992.694143

E. A. Swanson, J. A. Izatt, M. R. Hee, D. Huang, C. P. Lin et al., vivo retinal imaging by optical coherence tomography, p.18641866, 1993.

O. Tahri, F. Et, and . Chaumette, Determination of moment invariants and their application to visual servoing, 2003.
URL : https://hal.archives-ouvertes.fr/inria-00071738

O. Tahri, A. Y. Tamtsia, Y. Mezouar, and C. Demonceaux, Visual Servoing Based on Shifted Moments, IEEE Transactions on Robotics, vol.31, issue.3, p.31798804, 2015.
DOI : 10.1109/TRO.2015.2412771

URL : https://hal.archives-ouvertes.fr/hal-01485458

B. Tamadazte, N. Et, and . Andre, Weakly calibrated stereoscopic visual servoing for laser steering: Application to phonomicrosurgery, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, p.743748, 2014.
DOI : 10.1109/IROS.2014.6942641

URL : https://hal.archives-ouvertes.fr/hal-01313483

A. Y. Tamtsia, O. Tahri, Y. Mezouar, H. Djalo, and E. E. Tonye, New results in images moments-based visual servoing, Robotics and Automation (ICRA), 2013 IEEE International Conference on, p.52715276, 2013.

G. J. Tearney, M. E. Brezinski, B. E. Bouma, S. A. Boppart, C. Pitris et al., vivo endoscopic optical biopsy with optical coherence tomography, p.27620372039, 1997.

C. Teulière, E. Et, and . Marchand, A Dense and Direct Approach to Visual Servoing Using Depth Maps, IEEE Transactions on Robotics, vol.30, issue.5, p.12421249, 2014.
DOI : 10.1109/TRO.2014.2325991

B. E. Usevitch, A tutorial on modern lossy wavelet image compression : foundations of jpeg, IEEE signal processing magazine, vol.18, issue.5, p.2235, 2000.

K. Usher, P. Ridley, and E. P. Corke, Visual servoing of a car-like vehicle - an application of omnidirectional vision, 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), p.42884293, 2003.
DOI : 10.1109/ROBOT.2003.1242263

N. Vahrenkamp, S. Wieland, P. Azad, D. Gonzalez, T. Asfour et al., Visual servoing for humanoid grasping and manipulation tasks, Humanoids 2008, 8th IEEE-RAS International Conference on Humanoid Robots, p.406412, 2008.
DOI : 10.1109/ICHR.2008.4755985

S. Vasanawala, M. Murphy, M. Alley, P. Lai, K. Keutzer et al., Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, p.10391043, 2011.
DOI : 10.1109/ISBI.2011.5872579

M. Vitrani, M. Baumann, D. Reversat, G. Morel, A. Moreau-gaudry et al., Prostate biopsies assisted by comanipulated probe-holder: first in man, International Journal of Computer Assisted Radiology and Surgery, vol.55, issue.5, p.11531161, 2016.
DOI : 10.1088/0031-9155/55/5/N02

URL : https://hal.archives-ouvertes.fr/hal-01312297

M. Vitrani, H. Mitterhofer, G. Morel, and E. N. Bonnet, Robust Ultrasound-Based Visual Servoing for Beating Heart Intracardiac Surgery, Proceedings 2007 IEEE International Conference on Robotics and Automation, p.30213027, 2007.
DOI : 10.1109/ROBOT.2007.363931

URL : https://hal.archives-ouvertes.fr/hal-01170711

M. Vitrani, G. Morel, and E. T. Ortmaier, Automatic Guidance of a Surgical Instrument with Ultrasound Based Visual Servoing, Proceedings of the 2005 IEEE International Conference on Robotics and Automation, p.508513, 2005.
DOI : 10.1109/ROBOT.2005.1570169

URL : https://hal.archives-ouvertes.fr/hal-01170707

Y. Wang, J. Cao, and E. C. Yang, Recovery of seismic waveelds based on compressive sensing by an l 1-norm constrained trust region method and the piecewise random subsampling, Geophysical Journal International, vol.187, issue.1, 2011.

L. Weiss, A. Sanderson, and E. C. Neuman, Dynamic sensor-based control of robots with visual feedback, IEEE Journal on Robotics and Automation, vol.3, issue.5, p.404417, 1987.
DOI : 10.1109/JRA.1987.1087115

J. J. Wild, J. M. Et, and . Reid, Application of Echo-Ranging Techniques to the Determination of Structure of Biological Tissues, Science, vol.115, issue.2983, p.115226230, 1952.
DOI : 10.1126/science.115.2983.226

W. J. Wilson, C. W. Hulls, and G. S. Bell, Relative end-eector control using cartesian position based visual servoing, IEEE Transactions on Robotics and Automation, vol.12, issue.5, p.684696, 1996.
DOI : 10.1109/70.538974

H. Xie, L. E. Pierce, and F. T. Ulaby, Sar speckle reduction using wavelet denoising and markov random eld modeling, IEEE Transactions on geoscience and remote sensing, issue.10, p.4021962212, 2002.

T. Xu, W. Et, and . Wang, A compressed sensing approach for underdetermined blind audio source separation with sparse representation, Statistical Signal Processing, p.493496, 2009.

J. Yang, X. Liao, X. Yuan, P. Llull, D. J. Brady et al., Compressive sensing by learning a gaussian mixture model from measurements, IEEE Transactions on Image Processing, vol.24, issue.1, p.106119, 2015.

S. Yi, D. Labate, G. Easley, and E. H. Krim, Edge detection and processing using shearlets, 15th IEEE International Conference on Image Processing, p.11481151, 2008.

S. Yi, D. Labate, G. R. Easley, and E. H. Krim, A shearlet approach to edge analysis and detection, IEEE Transactions on Image Processing, vol.18, issue.5, p.929941, 2009.

W. Yin, S. Osher, D. Goldfarb, and E. J. Darbon, Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing, SIAM Journal on Imaging Sciences, vol.1, issue.1, p.143168, 2008.
DOI : 10.1137/070703983

URL : http://epubs.siam.org/doi/pdf/10.1137/070703983

Z. Zhang and Z. , A exible new technique for camera calibration, IEEE Transactions on pattern analysis and machine intelligence, vol.22, issue.11, p.13301334, 2000.
DOI : 10.1109/34.888718

URL : http://research.microsoft.com/~zhang/Papers/TR98-71.pdf

M. Zhou and H. Wei, Face verication using gaborwavelets and adaboost, Pattern Recognition 18th International Conference on, p.404407, 2006.