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| Publications, subproject 03 | BiBTeX |
Monograph
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O. Scherzer, M. Grasmair, H. Grossauer, M. Haltmeier, and F. Lenzen.
Variational Methods in Imaging.
Springer Publishing Company, Incorporated, 2008.
ISBN 0387309314, 9780387309316.
Journal Articles
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M. Fuchs, B. Jüttler, O. Scherzer, and H. Yang.
Shape metrics based on elastic deformations.
J. Math. Imaging Vision 35/1 (2009), 86-102.
[doi].
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C. Fiegl and C. Pontow.
Online scheduling of pick-up and delivery tasks in hospitals.
J. of Biomedical Informatics 42/4 (2009), 624-632.
[doi].
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M. Grasmair.
Well-posedness and convergence rates for sparse regularization with sublinear
lq penalty term.
Inverse Probl. Imaging 3/3 (2009), 383-387.
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J. Abhau and O. Scherzer.
A combinatorial method for topology adaptations in 3d deformable models.
Int. J. Comput. Vision (2009).
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M. Grasmair, M. Haltmeier, and O. Scherzer.
Sparse regularization with lq penalty term.
Inverse Problems 24/5 (2008), 1-13.
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M. Grasmair and A. Obereder.
Generalizations of the taut string method.
Numerical Functional Analysis and Optimization 29/3 (2008),
346-361.
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T. Fidler, M. Grasmair, and O. Scherzer.
Identifiability and reconstruction of shapes from integral invariants.
Inverse Problems and Imaging 2/3 (2008), 341-354.
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M. Fuchs and O. Scherzer.
Regularized reconstruction of shapes with statistical a priori knowledge.
International Journal of Computer Vision 79/2 (2008), 119-135.
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M. Burger, K. Frick, S. Osher, and O. Scherzer.
Inverse total variation flow.
Multiscale Model. Simul. 6/2 (2007), 366-395.
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R. Feichtinger, M. Fuchs, B. Jüttler, O. Scherzer, and H. Yang.
Dual
evolution of planar parametric spline curves and t-spline level sets.
Computer-Aided Design 40/1 (2007), 13-24.
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F. Frühauf, B. Gebauer, and O. Scherzer.
Detecing interfaces in a parabolic-elliptic problem from surface measurements.
SIAM J. Num. Anal. 45 (2007), 810-836.
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F. Frühauf and H. Grossauer.
Solving constraint ill-posed problems using Ginzburg-Landau regularization
functionals.
Journal of Inverse and Ill-posed Problems (2007), accepted.
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M. Fuchs, B. Jüttler, O. Scherzer, and H. Yang.
Combined
evolution of level sets and B-spline curves for imaging.
Computing and Visualization in Science (2007), to appear.
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M. Haltmeier, R. Kowar, A. Leitao, and O. Scherzer.
Kaczmarz methods for regularizing nonlinear ill-posed equations II:
Applications.
Inverse Problems and Imaging 1 (2007), 507-523.
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M. Haltmeier, A. Leitao, and O. Scherzer.
Kaczmarz methods for regularizing nonlinear ill-posed equations I:
Convergence analysis.
Inverse Problems and Imaging 1 (2007), 289-298.
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B. Hofmann, Kaltenbacher, C. Pöschl, and O. Scherzer.
A convergence rates result in Banach spaces with non-smooth operators.
Inverse Problems 23 (2007), 987-1010.
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A. Obereder, O. Scherzer, and A. Kovac.
Bivariate density estimation using BV regularisation.
Computational Statistics and Data Analysis (2007), to appear.
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E. Resmerita and O. Scherzer.
Error estimates for non-quadratic regularization and the relation to enhancing.
Inverse Problems 22 (2006), 801-814.
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F. Lenzen, O. Scherzer, and S. Schindler.
Robust reconstruction from chopped and nodded images.
Astronomy & Astrophysics 443 (2005), 1087- 1093.
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O. Scherzer, W. Yin, and S. Osher.
Slope and G-set characterization of set-valued functions and applications to
non-differentiable optimization problems.
Comm. Math. Sci. 3 (2005), 479-492.
Refereed articles in books and conference
proceedings
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M. Grasmair.
Locally adaptive total variation regularization.
In SSVM '09: Proceedings of the Second International Conference on Scale
Space and Variational Methods in Computer Vision, pages 331-342, Berlin,
Heidelberg, 2009. Springer-Verlag, ISBN 978-3-642-02255-5.
[doi].
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O. Scherzer and B. Walch.
Sparsity regularization for radon measures.
In SSVM '09: Proceedings of the Second International Conference on Scale
Space and Variational Methods in Computer Vision, pages 452-463, Berlin,
Heidelberg, 2009. Springer-Verlag, ISBN 978-3-642-02255-5.
[doi].
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J. Abhau, Z. Belhachmi, and O. Scherzer.
On a decomposition model for optical flow.
In 7th Conference on Energy Minimization Methods in Computer Vision and
Pattern Recognition (EMMCVPR'09), pages 126-139. Springer, 2009.
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F. Lenzen and O. Scherzer.
A geometric pde for interpolation of m-channel data.
In SSVM '09: Proceedings of the Second International Conference on Scale
Space and Variational Methods in Computer Vision, pages 413-425, Berlin,
Heidelberg, 2009. Springer-Verlag, ISBN 978-3-642-02255-5.
[doi].
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M. Fuchs and S. Gerber.
Variational shape detection in microscope images based on joint shape and
image feature statistics.
In CVPR Workshops 2008. IEEE Computer Society Conference on, pages 1-8,
2008.
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C. Pöschl and O. Scherzer.
Characterization of minimizers of convex regularization functionals.
In AMS-SIAM Special Session on Frames and Operator Theory in Analysis and
Signal Processing, number 451 in Contemporary Mathematics, pages 219-248,
2008.
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K. Frick and O. Scherzer.
Convex inverse scale spaces.
In F. Sgallari, A. Murli, and N. Paragios, editors, Scale Space 2007,
number 4485 in Lecture Notes in Computer Science, pages 313-325. Springer,
2007.
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J. Abhau, W. Hinterberger, and O. Scherzer.
Segmenting surfaces of arbitrary topology: A two-step approach.
In S. Y. Emelianov and S. A. McAleavey, editors, Medical Imaging 2007:
Ultrasonic Imaging and Signal Processing, volume 6513 of Proceedings
of SPIE, San Diego, CA, 2007.
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J. Abhau and O. Scherzer.
A combinatorial method for topology adaptations in deformable models.
In 3D Proceedings 2007, 2007.
submitted.
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K. Frick and O. Scherzer.
Applications of non-convex BV regularization for image segmentation.
In X.-C. Tai, K.-A. Lie, T. F. Chan, and S. Osher, editors, Image
Processing Based on Partial Differential Equations, Mathematics and
Visualization, pages 211-228, New York, 2007. Springer Verlag.
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M. Fuchs and O. Scherzer.
Segmentation of biologic image data with a-priori knowledge.
In Proc. Eurogen 2007, 2007.
submitted.
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H. Yang, M. Fuchs, B. Jüttler, and O. Scherzer.
Evolution of
t-spline level sets with distance field constraints for geometry
reconstruction and image segmentation.
In Shape Modeling International, pages 247-252. IEEE Press, 2006.
Technical Reports
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M. Grasmair.
Generalized bregman distances and convergence rates for non-convex
regularization methods.
Technical Report 104, FSP 092: Joint Research Program of Industrial Geometry,
May 2010.
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M. Grasmair.
A coarea
formula for anisotropic total variation regularisation.
Technical Report 103, FSP 092: Joint Research Program of Industrial Geometry,
May 2010.
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M. Grasmair.
A
locally adaptive total variation based algorithm for image restoration.
Technical Report 102, FSP 092: Joint Research Program of Industrial Geometry,
May 2010.
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A. De Cezaro, O. Scherzer, and J. P. Zubelli.
Convex
regularization of local volatility models from option prices: Convergence
analysis and rates.
Technical Report 101, FSP 092: Joint Research Program of Industrial Geometry,
April 2010.
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J. Abhau, O. Aichholzer, S. Colutto, B. Kornberger, and O. Scherzer.
Shape
spaces via medial axis transforms for segmentation of 3d voxel data.
Technical Report 92, FSP 092: Joint Research Program of Industrial Geometry,
January 2010.
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M. Grasmair.
Non-convex sparse regularization.
Technical Report 86, FSP 092: Joint Research Program of Industrial Geometry,
May 2009.
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F. Lenzen and O. Scherzer.
Morphological partial differential equations for optical flow computations
and applications to image interpolation.
Technical Report 85, FSP 092: Joint Research Program of Industrial Geometry,
May 2009.
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M. Grasmair and F. Lenzen.
Anisotropic total variation filtering.
Technical Report 84, FSP 092: Joint Research Program of Industrial Geometry,
April 2009.
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C. Pöschl, J. Modersitzki, and O. Scherzer.
A
variational setting for volume constrained image registration.
Technical Report 83, FSP 092: Joint Research Program of Industrial Geometry,
February 2009.
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F. Lenzen and O. Scherzer.
A
geometric pde for interpolation of m-channel data.
Technical Report 82, FSP 092: Joint Research Program of Industrial Geometry,
February 2009.
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M. Grasmair.
Locally
adaptive total variation regularization.
Technical Report 81, FSP 092: Joint Research Program of Industrial Geometry,
February 2009.
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P. Elbau, M. Grasmair, O. Scherzer, and F. Lenzen.
Evolution
by non-convex functionals.
Technical Report 75, FSP 092: Joint Research Program of Industrial Geometry,
September 2008.
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J. Abhau and O. Scherzer.
A
combinatorial method for topology adaptations in 3D deformable models.
Technical Report 72, FSP 092: Joint Research Program of Industrial Geometry,
July 2008.
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S. Colutto, F. Frühauf, M. Fuchs, and O. Scherzer.
The
CMA-ES on Riemannian manifolds to reconstruct shapes in 3D voxel
images.
Technical Report 70, FSP 092: Joint Research Program of Industrial Geometry,
May 2008.
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M. Fuchs, B. Jüttler, O. Scherzer, and H. Yang.
Shape
metrics based on elastic deformations.
Technical Report 71, FSP 092: Joint Research Program of Industrial Geometry,
June 2008.
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M. Grasmair.
Well-posedness and convergence rates for sparse regularization with sublinear
lq penalty term.
Technical Report 74, FSP 092: Joint Research Program of Industrial Geometry,
August 2008.
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H. Grossauer and P. Thoman.
GPU-based multigrid: Real-time performance in high resolution nonlinear
image processing.
Technical Report 68, FSP 092: Joint Research Program of Industrial Geometry,
May 2008.
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M. Grasmair.
Convex regularization methods with non-uniform total variation
penalization.
Technical Report 57, FSP 092: Joint Research Program of Industrial Geometry,
October 2007.
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T. Fidler, M. Grasmair, H. Pottmann, and O. Scherzer.
Inverse problems of integral invariants and shape signatures.
Technical report, FSP report no. 40, 2007.
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M. Fuchs and O. Scherzer.
Segmentation of biologic image data with a-priori knowledge.
Technical report, FSP report no. 52, 2007.
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