Frank Lenzen
Frank Lenzen
ITK Engineering GmbH
Verified email at - Homepage
Cited by
Cited by
Variational methods in imaging
O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen
Springer, New York, 2009
Anisotropic total variation filtering
M Grasmair, F Lenzen
Applied Mathematics & Optimization 62, 323-339, 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
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
Automatic detection of arcs and arclets formed by gravitational lensing
F Lenzen, S Schindler, O Scherzer
Astronomy and Astrophysics 416 (1), 391-402, 2004
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
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
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
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
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
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
Partial Differential Equations for Zooming, Deinterlacing and Dejittering.
F Lenzen, O Scherzer
International journal of computer vision 92 (2), 2011
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
Applied Mathematical Sciences
O Scherzer, M Grasmair, H Grossauer, M Haltmeier, F Lenzen
Variational methods in imaging 167, 2009
Tikhonov type regularization methods: history and recent progress
F Lenzen, O Scherzer
Proceeding Eccomas 2004, 2004
Depth and Intensity based Edge Detection in Time-of-Flight Images
H Schäfer, F Lenzen, CS Garbe
3D Vision 2013, 2013
A Non-convex PDE Scale Space.
M Grasmair, F Lenzen, A Obereder, O Scherzer, M Fuchs
Scale-Space 3459, 303-315, 2005
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
Solution-Driven Adaptive Total Variation Regularization
F Lenzen, J Berger
SSVM 2015, 2015
Model based scattering correction in time-of-flight cameras
H Schäfer, F Lenzen, CS Garbe
Optics express 22 (24), 29835-29846, 2014
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