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
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Florian BeckerSony Europe B.V.Verified email at sony.com
Jan LellmannUniversity of LuebeckVerified email at uni-luebeck.de
Rahul NairApple Inc.Verified email at posteo.me
Stefania PETRAHeidelberg UniversityVerified email at math.uni-heidelberg.de
Daniel KondermannQuality Match GmbHVerified email at quality-match.com
Johannes BergerImage and Pattern Analysis Group, Heidelberg UniversityVerified email at iwr.uni-heidelberg.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
Marcus MagnorProfessor of Computer Science, TU BraunschweigVerified email at cg.cs.tu-bs.de
Kai RuhlTU BraunschweigVerified email at cg.cs.tu-bs.de
Christian TheobaltProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
Kim, Kwang InGraduate School of Artificial Intelligence & Dept. Computer Science and Engineering, UNISTVerified email at unist.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	731	2009
Anisotropic total variation filtering M Grasmair, F Lenzen Applied Mathematics & Optimization 62 (3), 323-339, 2010	121	2010
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, 3-24, 2013	83	2013
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	69	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 European Conference on Computer Vision, 1-11, 2012	43	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 (2), 371-398, 2013	42	2013
Denoising time-of-flight data with adaptive total variation F Lenzen, H Schäfer, C Garbe International Symposium on Visual Computing, 337-346, 2011	40	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
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
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	22	2013
Applied Mathematical Sciences O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen Variational methods in imaging 167, 2009	21	2009
Partial differential equations for zooming, deinterlacing and dejittering F Lenzen, O Scherzer International journal of computer vision 92 (2), 162-176, 2011	18	2011
Depth and Intensity based Edge Detection in Time-of-Flight Images H Schäfer, F Lenzen, CS Garbe 3D Vision 2013, 2013	17	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	16	2013
A non-convex PDE scale space M Grasmair, F Lenzen, A Obereder, O Scherzer, M Fuchs International Conference on Scale-Space Theories in Computer Vision, 303-315, 2005	16	2005
Tikhonov type regularization methods: history and recent progress F Lenzen, O Scherzer Proceeding Eccomas 2004, 2004	15	2004
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
Second Order Minimum Energy Filtering on SE3 with Nonlinear Measurement Equations J Berger, A Neufeld, F Becker, F Lenzen, C Schnörr Scale Space and Variational Methods in Computer Vision: 5th International …, 2015	13*	2015

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