Publications
Scientific papers not reviewed
S. Shabani, M. Breuß:
Semi-Monotone Goldstein Line Search Strategy with Application in Sparse Recovery
2025S. Shabani, M. Khoshghiaferezaee, M. Breuß:
Sparse Dictionary Learning for Image Recovery by Iterative Shrinkage
2025T. Schneidereit, S. Gohrenz, M. Breuß:
Object detection characteristics in a learning factory environment using YOLOv8
2025
Theses
Patrick Ebert
Reduzierung der Prozessdurchlaufzeit in einer Fischertechnik Lernfabrik.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025Alexander Howel
Drohnenerkennung und Drohnenverfolgung mit Hilfe des Robomaster EP.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2025Johannes Höna
KI-basierte Objekterkennung mit YOLO von Plastiden-Clustern in der Fluoreszenzmikroskopie.
Master Thesis, Brandenburg University of Technology, Germany, 2025Stefan Gohrenz
Systematische Untersuchung zur KI-basierten Objekterkennung von verschiedenen Materialien in einer Industrie 4.0 Modellumgebung.
Master Thesis, Brandenburg University of Technology, Germany, 2025Tim Starke
Stationäre Kurven und deren Erhaltungsgrößen für glattes Bildmatching
Master Thesis, Brandenburg University of Technology, Germany, 2025Tobias Starke
Stationäre Kurven auf endlichdimensionalen Mannigfaltigkeiten
Master Thesis, Brandenburg University of Technology, Germany, 2025
Conference Papers
S. Hajighasemi, M. Breuß:
Fuzzy Frankot-Chellappa Method for Surface Normal Integration
Proceedings of the Conference Algoritmy, 2024, pp. 245-254A. Köhler, M. Breuß, S. Shabani:
Dictionary learning with the K-SVD algorithm for recovery of highly textured images - an experimental analysis
Proceedings of the Conference Algoritmy, 2024, pp. 264-273M. Kahra, M. Breuß, A. Kleefeld, M. Welk:
An Approach to Colour Morphological Supremum Formation Using the LogSumExp Approximation
Discrete Geometry and Mathematical Morphology, Springer Nature Switzerland, 2024, pp. 325-337S. Schneidereit, A. M. Yarahmadi, T. Schneidereit, M. Breuß, M. Gebauer:
YOLO-Based Object Detection in Industry 4.0 Fischertechnik Model Environment
Intelligent Systems and Applications, Springer Nature Switzerland, 2024, pp. 1-20
Journal Papers
M. Khan Mohammadi, T. Schneidereit, A. Mansouri Yarahmadi, M. Breuß:
Investigating Training Datasets of Real and Synthetic Images for Outdoor Swimmer Localisation with YOLO
AI, MDPI AG, 2024, 5, pp. 576-593A. Köhler, M. Kahra, M. Breuß:
A First Approach to Quantum Logical Shape Classification Framework
Mathematics, 2024, 12
Scientific papers not reviewed
S. Zell, T. Schneidereit, A. Fügenschuh, M. Breuß:
Advanced search and rescue operations for drowning swimmers using autonomous unmanned aircraft systems : location optimization, flight trajectory planning and image-based localization
2024M. Kahra, M. Breuß, A. Kleefeld, M. Welk:
Matrix-Valued LogSumExp Approximation for Colour Morphology
2024S. Hajighasemi, M. Breuß:
An Improved Frankot and Chellappa Method for Surface Normal Integration Using Fuzzy Concepts
2024A. Köhler, M. Breuß, S. Shabani:
Dictionary Learning with the K-SVD Algorithm for Recovery of Highly Textured Images
2024A. Köhler, M.Kahra, M. Breuß:
A First Approach to Quantum Logical Shape Classification Framework
2024M. Khan Mohammadi, T. Schneidereit, A. Mansouri Yarahmadi, M. Breuß:
Investigating training datasets of real and synthetic images for swimmer localisation with YOLO.
2024
Theses
Dustin Scharf:
Ein Entwurf für die Durchführung eines Praktikums zu Transformer Networks.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2024
Conference Papers
G. Radow, G. Rodriguez, A. M. Yarahmadi, M. Breuß:
Photometric Stereo with Non-Lambertian Preprocessing and Hayakawa Lighting Estimation for Highly Detailed Shape Reconstruction
Mathematical Methods for Objects Reconstruction, Springer Nature Singapore, 2023, pp. 35-56M. Eltaher, M. Breuß:
Unsupervised Description of 3D Shapes by Superquadrics Using Deep Learning
Computer Vision and Machine Intelligence, Springer Nature Singapore, 2023, pp. 95-107A. M. Yarahmadi, M. Breuß, C. Hartmann:
Long Short-Term Memory Neural Network for Temperature Prediction in Laser Powder Bed Additive Manufacturing
Intelligent Systems and Applications, Springer International Publishing, 2023, pp. 119-132A. M. Yarahmadi, M. Breuß, C. Hartmann, T. Schneidereit:
Unsupervised Optimization of Laser Beam Trajectories for Powder Bed Fusion Printing and Extension to Multiphase Nucleation Models
Springer INdAM Series, Springer Nature Singapore, 2023, pp. 157-176A. M. Yarahmadi, M Breuß, M. K. Mohammadi:
Explaining StyleGAN Synthesized Swimmer Images in Low-Dimensional Space
Lecture Notes in Computer Science, Springer Nature Switzerland, 2023, pp. 164-173S. Shabani, M. Breuß:
An Efficient Line Search for Sparse Reconstruction
Scale Space and Variational Methods in Computer Vision, Springer International Publishing, 2023, pp. 471-483S. Schneidereit, A. M. Yarahmadi, T. Schneidereit, M. Breuß, M. Gebauer:
YOLO-based Object Detection in Industry 4.0 Fischertechnik Model Environment
Accepted for Intelligent Systems and Applications, 2023
Journal Papers
T. Schneidereit, M. Breuß:
Adaptive neural-domain refinement for solving time-dependent differential equations
Advances in Continuous and Discrete Models, Springer Science and Business Media LLC, 2023M. Kahra, M. Breuß:
Properties of Morphological Dilation in Max-Plus and Plus-Prod Algebra in Connection with the Fourier Transformation
Journal of Mathematical Imaging and Vision, Springer Science and Business Media LLC, 2023
Scientific papers not reviewed
M. Kahra, M. Breuß, A. Kleefeld, M. Welk:
An Approach to Colour Morphological Supremum Formation using the LogSumExp Approximation
2023A. Köhler, M. Breuß:
Towards Efficient Time Stepping for Numerical Shape Correspondence
2023V. Sridhar, M. Breuß:
Morphological Sampling Theorem and its Extension to Grey-value Images
2023V. Sridhar, K. Shahin, M. Breuß, M. Reichenbach:
The Polynomial Connection between Morphological Dilation and Discrete Convolution
2023A. M. Yarahmadi, M. Breuß, C. Hartmann:
Long Short-Term Memory Neural Network for Temperature Prediction in Laser Powder Bed Additive Manufacturing
2023- S. Schneidereit, A. M. Yarahmadi, T. Schneidereit, M. Breuß, M. Gebauer:
YOLO-based Object Detection in Industry 4.0 Fischertechnik Model Environment
2023
Conference Papers
A. Köhler, A. Rigi, M. Breuss:
Fast Shape Classification Using Kolmogorov-Smirnov Statistics
Computer Science Research Notes, Union Agency, Science Press, 2022, Vol. 3201, pp. 172-180V. Sridhar, M. Breuß:
An Exact Fast Fourier Method for Morphological Dilation and Erosion Using the Umbra Technique
2022 19th Conference on Robots and Vision (CRV), 2022, pp. 190-196V. Sridhar, M. Breuß:
A Novel Approach for Computation of Morphological Operations Using the Number Theoretic Transform
Discrete Geometry and Mathematical Morphology, Springer International Publishing, 2022, pp. 182-192
Journal Papers
T. Schneidereit, M. Breuß:
Computational characteristics of feedforward neural networks for solving a stiff differential equation
Neural Computing and Applications, Springer Science and Business Media LLC, 2022M. Bähr, M. Breuß:
Efficient Long-Term Simulation of the Heat Equation with Application in Geothermal Energy Storage
Mathematics, MDPI AG, 2022, Vol. 10, pp. 2309ffA. Köhler, M. Breuß:
Computational Analysis of PDE-Based Shape Analysis Models by Exploring the Damped Wave Equation
Algorithms, MDPI AG, 2022, Vol. 15, pp. 304ff
Tech Reports
M. Kahra, M. Breuß:
Properties of morphological dilation in max-plus and plus-prod algebra in connection with the Fourier transformation
FG Angewandte Mathematik, FG Angewandte Mathematik, 2022M. Breuß, A.S. Boroujerdi, A. M. Yarahmadi:
Modelling the Energy Consumption of Driving Styles Based on Clustering of GPS Information
Modelling, MDPI AG, 2022, Vol. 3, pp. 385-399
Theses
T. Schneidereit:
The solution of time-dependent ordinary differential equations using neural networks : collocation polynomial neural forms and adaptive neural domain refinement
PhdThesis, FG Angewandte Mathematik, FG Angewandte Mathematik, 2022M. Bähr:
Efficient time integration methods for linear parabolic partial differential equations with applications
PhdThesis, FG Angewandte Mathematik, FG Angewandte Mathematik, 2022S. Schneidereit:
Untersuchung der Objekterkennung mit Neuronalen Netzen unter Verwendung von YOLO-Modellen in einer Lernfabrik.
Master Thesis, Brandenburg University of Technology, Germany, 2022Tim Starke:
Das Therorem von Piron in der Quantenlogik
Bachelor Thesis, Brandenburg University of Technology, Germany, 2022Tobias Starke:
Quantenlogische System und Tensorprodukträume
Bachelor Thesis, Brandenburg University of Technology, Germany, 2022A. Frick:
Diskretisierung höherer Ordnung des optischen Flusses durch partielle Differentialgleichungen
Master Thesis, Brandenburg University of Technology, Germany, 2022
Conference Papers
V. Sridhar, M. Breuss, M. Kahra:
Fast Approximation of Color Morphology
Advances in Visual Computing, Springer International Publishing, 2021,Vol. 13018, pp. 488-49T. Schneidereit, M. Breuß:
Polynomial Neural Forms Using Feedforward Neural Networks for Solving Differential Equations
Artificial Intelligence and Soft Computing, Springer International Publishing, 2021,Vol. 12854, pp. 236-245V. Sridhar, M. Breuß:
Sampling of Non-flat Morphology for Grey Value Images
Computer Analysis of Images and Patterns, Springer International Publishing, 2021, Vol. 13053, pp. 88-97A. M. Yarahmadi, M. Breuß:
Automatic Watermeter Reading in Presence of Highly Deformed Digits
Computer Analysis of Images and Patterns, Springer International Publishing, 2021, Vol. 13053, pp. 153-163M. Kahra, V. Sridhar, M. Breuß:
Fast Morphological Dilation and Erosion for Grey Scale Images Using the Fourier Transform.
Lecture Notes in Computer Science, Springer International Publishing, 2021, pp. 65–77.A. Köhler, M. Breuß:
Towards Efficient Time Stepping for Numerical Shape Correspondence.
Lecture Notes in Computer Science, Springer International Publishing, 2021, pp. 165–176.
Journal Papers
M. Bähr, J. Buhl, G. Radow, J. Schmidt, M. Bambach, M. Breuß, A. Fügenschuh:
Stable honeycomb structures and temperature based trajectory optimization for wire-arc additive manufacturing
Optimization and Engineering, Springer Science and Business Media LLC, Volume 22, pp.913–974 (2021)A. Bonhage, M. Eltaher, T. Raab, M. Breuß, A. Raab, and A. Schneider:
A modified Mask region-based convolutional neural network approach for the automated detection of archaeological sites on high-resolution light detection and ranging-derived digital elevation models in the North German Lowland
Archaeological Prospection, vol. 28, no. 2, pp. 177–186, Feb. 2021
Preprints
T. Schneidereit, M. Breuß:
Collocation Polynomial Neural Forms and Domain Fragmentation for solving Initial Value Problems
2021T. Schneidereit, M. Breuß:
Adaptive neural domain refinement for solving time-dependent differential equations
2021
Conference Papers
T. Schneidereit, M. Breuß:
Solving Ordinary Differential Equations using Artificial Neural Networks - A study on the solution variance
Proceedings of the Conference Algoritmy, 2020, 21-30
Journal Articles
M. Breuß, L. Hoeltgen, G. Radow:
Towards PDE-Based Video Compression with Optimal Masks Prolongated by Optic Flow.
Journal of Mathematical Imaging and Vision, Springer Science and Business Media LLC, 2020 (published onlineM. Breuß, A. Kleefeld:
Implicit Monotone Difference Methods for Scalar Conservation Laws with Source Terms
Acta Mathematica Vietnamica, Volume 45, pp. 709-738 (2020)M. Breuß, J. Buhl, A. M. Yarahmadi, M. Bambach, P. Peter:
A Simple Approach to Stiffness Enhancement of a Printable Shape by Hamilton-Jacobi Skeletonization
Procedia Manufacturing, Volume 47, 2020, pp. 1190-1196
Book Chapters
M. Breuß, A. M. Yarahmadi:
Perspective Shape from Shading: An Exposition on Recent Works with New Experiments
In Durou et al. (Eds.): Advances in Photometric 3D-Reconstruction, Springer, 2020
Thesis
A. Köhler:
Reproduzierende Kerne im Hilbertraum und deren Anwendung.
Master Thesis, Brandenburg University of Technology, Germany, 2020.
Preprints
- T. Schneidereit, M. Breuß:
Computational characteristics of feedforward neural networks for solving a stiff differential equation
2020
Conference Papers
M. Welk, M. Breuß, V. Sridhar:
Matrix Morphology with Extremum Principle
B. Burgeth, A. Kleefeld, B. Naegel, N. Passat, B. Perret (Eds.)
Lecture Notes in Computer Science, Springer International Publishing, 2019, 177-18G. Radow, M. Breuß:
Variational Optical Flow: Warping and Interpolation Revisited.
In M. Vento, G. Percannella (Eds.): Computer Analysis of Images and Patterns, Proc. 18th International Conference (CAIP 2019, Salerno, Italy, September 2019), LNCS Vol. 11678, pp. 409-420, Springer, 2019.L. Hoeltgen, M. Breuß, G. Radow:
Towards PDE-Based Video Compression with Optimal Masks and Optic Flow.
In J. Lellmann, M. Burger, J. Modersitzki (Eds.): Scale Space and Variational Methods in Computer Vision, Proc. 7th International Conference (SSVM 2019, Hofgeismar, Germany, June/July 2019), LNCS Vol. 11603, pp. 79-91, Springer, 2019.M. Bähr, G. Radow, M. Breuß, A. Fügenschuh:
Computation of Stable Honeycomb Structures for Additive Manufacturing.
In J. B. Fortz, M. Labbé (Eds.): Operations Research Proceedings 2018, Proc. International Conference (OR 2018, Brussels, Belgium, September 2018), pp. 363-369, Springer, 2019.
Journal Articles
M. Breuß, A. Kleefeld:
Implicit monotone difference methods for scalar conservation laws with source terms.
accepted to Acta Mathematica Vietnamica, Springer, 2019.L. Hoeltgen, A. Kleefeld, I. Harris , M. Breuß:
Theoretical Foundation of the Weighted Laplace Inpainting Problem.Journal of Applications of Mathematics, Volume 64, Issue 3, pp. 281-300, April 2019, Springer.
G. Radow, L. Hoeltgen, Y. Quéau, M. Breuß:
Optimisation of Classic Photometric Stereo by Non-convex Variational Minimisation.
Journal of Mathematical Imaging and Vision, Volume 61, Issue 1, pp. 84-105, January 2019, Springer US.
Thesis
A. Frick:
Padé-Approximation der Wärmeleitungsgleichung.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2019.
Preprints
- M. Bähr, M. Breuß, R. Dachsel:
Model Order Reduction for Shape Correspondence
2020
Conference Papers
M. Breuß, A. M. Yarahmadi, D. Cunningham:
The Convex-Concave Ambiguity in Perspective Shape from Shading.
In M. Welk, M. Urschler, P. M. Roth (Eds.): Proceedings of the OAGM Workshop 2018 Medical Image Analysis, pp. 57-63, Verlag der Technischen Universität Graz, 2018M. Bähr, R. Dachsel, M. Breuß:
Fast Solvers for Solving Shape Matching by Time Integration.
In M. Welk, M. Urschler, P. M. Roth (Eds.): Proceedings of the OAGM Workshop 2018 Medical Image Analysis, pp. 65-72, Verlag der Technischen Universität Graz, 2018.R. Dachsel, M. Breuß, L. Hoeltgen:
A Study of Spectral Expansion for Shape Correspondence.
In M. Welk, M. Urschler, P. M. Roth (Eds.): Proceedings of the OAGM Workshop 2018 Medical Image Analysis, pp. 73-69, Verlag der Technischen Universität Graz, 2018.A. S. Boroujerdi, M. Khanian, M. Breuß:
Deep Interactive Region Segmentation and Captioning.In Proc. of Signal Image Technology & Internet based Systems (SITIS 2017), pp. 103-110, April 2018, IEEE.
R. Scheffler, A. M. Yarahmadi, M. Breuß, E. Köhler:
A Graph Theoretic Approach for Shape from Shading.
In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2017), LNCS Vol. 10746, pp. 328–341, March 2018, Springer.
Journal Articles
D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn:
Combining Shape from Shading and Stereo: A Joint Variational Method for Estimating Depth, Illumination and Albedo.International Journal of Computer Vision, Volume 126, Issue 12, pp. 1342–1366, December 2018, Springer.
S. Castillo, D.W. Cunningham, C. Winger, M. Breuß:
Morphological Amoeba-based Patches for Exemplar-Based Inpainting.
Journal of of WSCG, Volume 26(2), pp. 112–121, 2018, Vaclav Skala - Union Agency.L. Hoeltgen, P. Peter, M. Breuß:
Clustering-Based Quantisation for PDE-Based Image Compression.
Signal, Image and Video Processing, Volume 12, Issue 3, pp. 411–419, March 2018, Springer London.M. Breuß, F. Kemm, O. Vogel:
A Numerical Study of Newton Interpolation with Extremely High Degrees.
Kybernetika, Volume 54(2), pp. 279–288, 2018, published by UTIA.M. Khanian, A. S. Boroujerdi, M. Breuß:
Photometric stereo for strong specular highlights.
Computational Visual Media, Volume 4, Issue 1, pp. 83–102, March 2018, Springer.L. Hoeltgen, M. Breuß, G. Herold, E. Sarradj:
Sparse l1 Regularisation of Matrix Valued Models for Acoustic Source Characterisation.
Optimization and Engineering, Volume 19, Issue 1, pp. 39–70, March 2018, Springer US.
Technical Reports
M. Khanian, A. S. Boroujerdi, M. Breuß:
Real-Time 3D Shape of Micro-Details.
Brandenburg University of Technology, Cottbus, Germany, 2018.
Theses
M. Rogge:
Numerische Analysis der Wellengleichung.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2018.
Conference Papers
R. Dachsel, M. Breuß, L. Hoeltgen:
The Classic Wave Equation Can Do Shape Correspondence.
In M. Felsberg, A. Heyden, N. Krüger (Eds.): Computer Analysis of Images and Patterns: 17th International Conference (CAIP 2017, Ystad, Sweden, August 22-24), LNCS Vol. 10424, pp. 264-275, Springer International Publishing, 2017G. Radow, M. Breuß, L. Hoeltgen, T. Fischer:
Optimised Anisotropic Poisson Denoising.
In P. Sharma, F. M. Bianchi (Eds.): Image Analysis, Proc. 20th Scandinavian Conference (SCIA 2017, Tromsø Norway, June 2017), LNCS Vol. 10269, pp. 502-514, Springer, Berlin, 2017.R. Dachsel, M. Breuß, L. Hoeltgen:
Shape Matching by Time Integration of Partial Differential Equations.
In A. B. Dahl, Y. Dong, F. Lauze (Eds.): Proc. 6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017, Kolding, Denmark, June 2017), LNCS Vol. 10302, pp. 669-680, Springer, 2017.L. Hoeltgen, I. Harris , M. Breuß, A. Kleefeld:
Analytic Existence and Uniqueness Results for PDE-Based Image Reconstruction with the Laplacian.
In A. B. Dahl, Y. Dong, F. Lauze (Eds.): Proc. 6th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2017, Kolding, Denmark, June 2017), LNCS Vol. 10302, pp. 66-79, Springer, 2017.M. Breuß, L. Hoeltgen, A. Kleefeld:
Matrix-Valued Levelings for Colour Images.
In J. Angulo, S. Velasco-Forero, F. Meyer (Eds.): Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2017), LNCS Vol. 10225, pp. 296-308, Springer, 2017.
Journal Article
L. Hoeltgen:
Understanding Image Inpainting with the Help of the Helmholtz Equation.
Mathematical Sciences, Volume 11, Issue 1, pp. 73–77, March 2017, Springer Berlin Heidelberg.M. Bähr, M. Breuß, Y. Quéau, A. S. Boroujerdi, J.-D. Durou:
Fast and accurate surface normal integration on non-rectangular domains.
Computational Visual Media, Volume 3, Issue 2, pp. 107–129, June 2017, Springer.
Theses
G. Radow:
Eine numerische Untersuchung von Bang-Bang-Steuerungsproblemen.
Master Thesis, Brandenburg University of Technology, Germany, 2016.BestMasters, Springer Spektrum, Berlin, 2017.
A. Köhler:
Inpainting mit der Cahn-Hilliard-Gleichung.
Bachelor Thesis, Brandenburg University of Technology, Germany, 2017.
Edited Book
M. Breuß, A. Bruckstein, P. Maragos, S. Wuhrer:
Perspectives in Shape Analysis.
Springer Series: Mathematics and Visualization, 2016, XVII, 370 pages.
Conference Papers
M. Bähr, M. Breuß, R. Wunderlich:
Fast explicit diffusion for long-time integration of parabolic problems.
In AIP conference proceedings, 14th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2016), 19-25 Sep 2016, Rhodes, Greece, 2016L. Hoeltgen, Y. Queau, M. Breuß, G. Radow:
Optimised photometric stereo via non-convex variational minimisation.
In R. Wilson, E. Hancock, W. Smith (Eds.): Proc. 27th British Machine Vision Conference (BMVC 2016, York, UK, September 2016), BMVA Press, 2016.D. Maurer, Y. C. Ju, M. Breuß, A. Bruhn:
Combining Shape from Shading and Stereo: A Variational Approach for the Joint Estimation of Depth, Illumination and Albedo.
In R. Wilson, E. Hancock, W. Smith (Eds.): Proc. 27th British Machine Vision Conference (BMVC 2016, York, UK, September 2016), BMVA Press, 2016.M. Breuß, Y. Quéau, M. Bähr, J.-D. Durou:
Highly efficient surface normal integration.
In A. Handlovičová and D. Ševčovič (Eds.): Proceedings of the Conference Algoritmy 2016, 20th Conference on Scientific Computing, pp. 204-213L. Hoeltgen, M. Breuß:
Efficient Co-Domain Quantisation for PDE-Based Image Compression.
In A. Handlovičová and D. Ševčovič (Eds.): Proceedings of the Conference Algoritmy 2016, 20th Conference on Scientific Computing, pp. 194-203P. Peter, S. Hoffmann, F. Nedwed, L. Hoeltgen, J. Weickert:
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs.
In T. Bräunl, B. McCane, M. Rivers, X. Yu (Eds.): Image and Video Technology, Lecture Notes in Computer Science, Volume 9431, Springer International Publishing, 2016, pp. 63-74
Journal Articles
M. Welk, A. Kleefeld, M. Breuß:
Quantile filtering of colour images via symmetric matrices.Mathematical Morphology - Theory and Applications, 1 (2016), pp. 136-174, DE GRUYTER OPEN
P. Peter, S. Hoffmann, F. Nedwed, L. Hoeltgen, J. Weickert:
Evaluating the True Potential of Diffusion Based Inpainting in a Compression Context.
Signal Processing: Image Communication, Volume 46, pp. 40–53, August 2016, Elsevier.
Technical Report
M. Breuß, L. Hoeltgen, A. S. Boroujerdi, A. M. Yarahmadi:
Highly Robust Clustering of GPS Driver Data for Energy Efficient Driving Style Modelling.
Brandenburg University of Technology, Cottbus, Germany, 2016.
Book Chapters
Y. C. Ju, D. Maurer, M. Breuß, A. Bruhn:
Direct variational perspective shape from shading with Cartesian depth parametrisation.
Perspectives on Shape From Shading. Mathematics and Visualization, Springer, Berlin, 2016.
(Revised version of ArXiv Preprint 1505.06163, 2015.)
Conference Papers
M. Bähr, M. Breuß:
An Improved Eikonal Method for Surface Normal Integration.
In B. Leibe, J. Gall, P. Gehler (Eds.): Proc. 37th German Conference on Pattern Recognition (GCPR 2015), Lecture Notes in Computer Science, Volume 9358, pp. 274-284, Springer, Berlin, 2015D. Maurer, Y. Ju, M. Breuß, A. Bruhn:
An Efficient Linearisation Approach for Variational Perspective Shape from Shading.
In B. Leibe, J. Gall, P. Gehler (Eds.): Proc. 37th German Conference on Pattern Recognition (GCPR 2015), Lecture Notes in Computer Science, Volume 9358, Springer, Berlin, 2015. pp 249-261M. Breuß, D. W. Cunningham, M. Welk:
Scale spaces for cognitive systems: a position paper.
In D. W. Cunningham, P. Hofstedt, K. Meer, I. Schmitt (Eds.): Proc. 45.
Jahrestagung der Gesellschaft für Informatik, Lecture Notes in Informatics, Volume P-246 (2015), pp. 1253–1255M. Welk, A. Kleefeld, M. Breuß:
Non-adaptive and Amoeba Quantile Filters for Color Images.
In Jón Atli Benediktsson, Jocelyn Chanussot, Laurent Najman, Hugues Talbot (Eds.): Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2015), Lecture Notes in Computer Science, Volume 9082, Springer, Berlin, pp. 398-409.A.S. Boroujerdi, M. Breuß, B. Burgeth, A. Kleefeld:
PDE-based Color Morphology using Matrix Fields.
In Jean-François Aujol, Mila Nikolova, Nicolas Papadakis (Eds.): Scale Space and Variational Methods in Computer Vision (SSVM 2015), Lecture Notes in Computer Science, Volume 9087, Springer, Berlin, pp. 461-473Y.C. Ju, A. Bruhn, M. Breuß:
Variational Perspective Shape from Shading.
In Jean-François Aujol, Mila Nikolova, Nicolas Papadakis (Eds.): Scale Space and Variational Methods in Computer Vision (SSVM 2015), Lecture Notes in Computer Science, Volume 9087, Springer, Berlin, pp. 538-550M. Khanian, A.S. Boroujerdi, M. Breuß:
Perspective Photometric Stereo Beyond Lambert.
In Fabrice Meriaudeau, Olivier Aubreton (Eds.): Proceedings of SPIE: Twelfth International Conference on Quality Control by Artificial Vision (QCAV 2015), SPIE Proceedings Volume 9534A. Kleefeld, M. Breuß, M. Welk, B. Burgeth:
Adaptive Filters for Color Images: Median Filtering and its Extensions.
In A. Trémeau, R. Schettini, and S. Tominaga (Eds.): Computational Color Imaging, Lecture Notes in Computer Science, Springer, Berlin, 9016 (2015), pp. 149-158
Technical Reports
L. Hoeltgen, M. Breuß:
Bregman Iteration for Correspondence Problems: A Study of Optical Flow.
Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany, 2015
Conference Papers
- M. Khanian, M. Breuß, A. Davari:
An Improved Stopping Criterion for Anisotropic Diffusion.
In Theodore E. Simos, Charalambos Tsitouras (Eds.): Proceedings of the International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2014), AIP Conference Proceedings, Volume 1648
Book Chapters
- M. Welk, M. Breuß:
Morphological Amoebas and Partial Differential Equations.
In P.W. Hawkes (Ed.): Advances in Imaging and Electron Physics, Vol. 185 (2014), pp. 139-212. Academic Press: Elsevier Inc.
Edited Book
M. Breuß, A. Bruckstein and P. Maragos:
Innovations for Shape Analysis - Models and Algorithms.
Springer Series: Mathematics and Visualization, 2013, XXIV, 496 pages.
Conference Papers
Y. C. Ju, S. Tozza, M. Breuß, A. Bruhn, A. Kleefeld:
Generalised Perspective Shape from Shading with Oren-Nayar Reflectance.
In T. Burghardt, D. Damen, W. Mayol-Cuevas, M. Mirmehdi (Eds.): Proc. 24th British Machine Vision Conference (BMVC 2013, Bristol, UK, September 2013), BMVA Press, Article 42, 2013.J. Weickert, K. Hagenburg, M. Breuß, O. Vogel:
Linear Osmosis Models for Visual Computing.
In A. Heyden, F. Kahl, C. Olsson, M. Oskarsson, X.-C. Tai (Eds.): Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR 2013, Lund, Sweden, August 2013), Lecture Notes in Computer Science Vol. 8081, pp. 26-39, Springer, Berlin, 2013.H. Rhodin, M. Breuß:
A Mathematically Justified Algorithm for Shape from Texture.
In A. Kuiijper, T. Pock, K. Bredies, H. Bischof (Eds.): Proc. Fourth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2013, Graz, Austria, June 2013), Lecture Notes in Computer Science Vol. 7893, pp. 294-305, Springer, Berlin, 2013.S. Galliani, Y. C. Ju, M. Breuß, A. Bruhn:
Generalised Perspective Shape from Shading in Spherical Coordinates.
In A. Kuiijper, T. Pock, K. Bredies, H. Bischof (Eds.): Proc. Fourth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM 2013, Graz, Austria, June 2013), Lecture Notes in Computer Science Vol. 7893, pp. 222-233, Springer, Berlin, 2013.
Book Chapters
P. Peter and M. Breuß:
Refined Homotopic Thinning Algorithms and Quality Measures for Skeletonisation Methods. M. Breuß, A. Bruckstein, P. Maragos (Eds.): Innovations for Shape Analysis - Models and Algorithms. Mathematics and Visualization, 77-92, Springer, Berlin, 2013.
Journal Articles
M. Breuß and D. Dietrich:
On the Optimization of Flux Limiter Schemes for Hyperbolic Conservation Laws. Numerical Methods for Partial Differential Equations, Volume 29, Issue 3 (2013), 884-896.
Conference Papers
Y. C. Ju, M. Breuß, A. Bruhn, S. Galliani:
Shape from Shading for Rough Surfaces: Analysis of the Oren-Nayar Model.
In R. Bowden, J. Collomosse, K. Mikolajczyk (Eds.): Proc. 23rd British Machine Vision Conference (BMVC 2012, Surrey, UK, September 3-7, 2012), BMVA Press, Article 104, 2012.S. Galliani, M. Breuß, Y. C. Ju:
Fast and Robust Surface Normal Integration by a Discrete Eikonal Equation.
In R. Bowden, J. Collomosse, K. Mikolajczyk (Eds.): Proc. 23rd British Machine Vision Conference (BMVC 2012, Surrey, UK, September 3-7, 2012), BMVA Press, Article 106, 2012.
Book Chapters
M. Breuß, B. Burgeth and L. Pizarro:
Discrete Flux-Corrected Transport: Numerical Analysis, Tensor-Valued Extension and Application in Image Processing. In R. Ansorge et al. (Eds.): Recent Developments in the Numerics of Hyperbolic Conservation Laws, Springer Series: Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 2013, Volume 120, 73-87.Journal Articles
M. Breuß, E. Cristiani, J.-D. Durou, M. Falcone, O. Vogel: Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations. SIAM Journal on Imaging Sciences, Volume 5, Issue 1 (2012), 311-342.