Frank Lenzen

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Markus GrasmairDepartment of Mathematical Sciences, NTNU TrondheimVerified email at math.ntnu.no
Markus HaltmeierProfessor of Mathematics, University of InnsbruckVerified email at uibk.ac.at
Florian BeckerSony Europe B.V.Verified email at sony.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Jan LellmannUniversity of LuebeckVerified email at uni-luebeck.de
Rahul NairApple Inc.Verified email at posteo.me
Daniel KondermannQuality Match GmbHVerified email at quality-match.com
Stefania PETRAHeidelberg UniversityVerified email at math.uni-heidelberg.de
Johannes BergerImage and Pattern Analysis Group, Heidelberg UniversityVerified email at iwr.uni-heidelberg.de
Marcus MagnorProfessor of Computer Science, TU Braunschweig, L3S Research CenterVerified email at cg.cs.tu-bs.de
Kai RuhlTU BraunschweigVerified email at cg.cs.tu-bs.de
Damien LeflochResearchVerified email at vizrt.com
Reinhard KochProfessor of Computer Science, Christian-Albrechts-University of Kiel, GermanyVerified email at informatik.uni-kiel.de
Andreas KolbComputer Science, University of SiegenVerified email at uni-siegen.de
Michael CreeAssociate Professor in Engineering, University of WaikatoVerified email at waikato.ac.nz
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Kim, Kwang InDept. of Electrical Engineering & Graduate School of Artificial Intelligence, POSTECHVerified email at postech.ac.kr
Jörg Hendrik KappesHeidelberg EngineeringVerified email at math.uni-heidelberg.de
Yair CensorProfessor of Mathematics, University of Haifa, IsraelVerified email at math.haifa.ac.il
Aviv GibaliAssociate Professor, Head of Mathematics Department, ORT Braude College, Karmiel, IsraelVerified email at braude.ac.il

Frank Lenzen

ITK Engineering GmbH

Verified email at iwr.uni-heidelberg.de - Homepage

Image Processing Computer Vision Variational Methods


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Variational methods in imaging O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Springer, New York, 2009	795	2009
Anisotropic total variation filtering M Grasmair, F Lenzen Applied Mathematics & Optimization 62, 323-339, 2010	129	2010
A Survey on Time-of-Flight Stereo Fusion R Nair, K Ruhl, F Lenzen, S Meister, H Schäfer, CS Garbe, M Eisemann, ... A State-of-the-Art Survey on Time-of-Flight and Depth Imaging: Sensors …, 2013	93	2013
Technical foundation and calibration methods for time-of-flight cameras D Lefloch, R Nair, F Lenzen, H Schäfer, L Streeter, MJ Cree, R Koch, ... Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications …, 2013	89	2013
Automatic detection of arcs and arclets formed by gravitational lensing F Lenzen, S Schindler, O Scherzer Astronomy and Astrophysics 416 (1), 391-402, 2004	63	2004
High accuracy tof and stereo sensor fusion at interactive rates R Nair, F Lenzen, S Meister, H Schäfer, C Garbe, D Kondermann Computer Vision–ECCV 2012. Workshops and Demonstrations: Florence, Italy …, 2012	44	2012
A class of quasi-variational inequalities for adaptive image denoising and decomposition F Lenzen, F Becker, J Lellmann, S Petra, C Schnörr Computational Optimization and Applications 54, 371-398, 2013	42	2013
Denoising time-of-flight data with adaptive total variation F Lenzen, H Schäfer, C Garbe Advances in Visual Computing: 7th International Symposium, ISVC 2011, Las …, 2011	39	2011
Denoising Strategies for Time-of-Flight Data F Lenzen, KI Kim, H Schäfer, R Nair, S Meister, F Becker, CS Garbe, ... A State-of-the-Art Survey on Time-of-Flight and Depth Imaging: Sensors …, 2013	34	2013
Optimality bounds for a variational relaxation of the image partitioning problem J Lellmann, F Lenzen, C Schnörr Journal of Mathematical Imaging and Vision 47 (3), 239-257, 2013	24	2013
Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences F Becker, F Lenzen, JH Kappes, C Schnörr IJCV 105 (3), 269-297, 2013	23	2013
Adaptive Second-Order Total Variation: An Approach Aware of Slope Discontinuities F Lenzen, F Becker, J Lellmann 4th Conf. on Scale Space and Variational Methods (SSVM 2013), 2013	22	2013
Partial Differential Equations for Zooming, Deinterlacing and Dejittering. F Lenzen, O Scherzer International journal of computer vision 92 (2), 2011	22	2011
Applied Mathematical Sciences O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Variational methods in imaging 167, 2009	21	2009
Tikhonov type regularization methods: history and recent progress F Lenzen, O Scherzer Proceeding Eccomas 2004, 2004	20	2004
Depth and Intensity based Edge Detection in Time-of-Flight Images H Schäfer, F Lenzen, CS Garbe 3D Vision 2013, 2013	17	2013
A Non-convex PDE Scale Space. M Grasmair, F Lenzen, A Obereder, O Scherzer, M Fuchs Scale-Space 3459, 303-315, 2005	16	2005
Solution-Driven Adaptive Total Variation Regularization F Lenzen, J Berger SSVM 2015, 2015	14	2015
The implicit convex feasibility problem and its application to adaptive image denoising Y Censor, A Gibali, F Lenzen, C Schnörr Journal of Computational Mathematics, 610-625, 2016	13	2016
Model based scattering correction in time-of-flight cameras H Schäfer, F Lenzen, CS Garbe Optics express 22 (24), 29835-29846, 2014	13	2014

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