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In Collection

Garbe, C S, Krajsek, K, Pavlov, P, Andres, B, Mühlich, M, Stuke, I, Mota, C, Böhme, M, Haker, M, Schuchert, T, Scharr, H, Aach, T and Barth, E (2008). Nonlinear Analysis of Multi-Dimensional Signals. Mathematical Methods in Signal Processing and Digital Image Analysis. Springer. 231-288

Technical Report (7.11 MB)

Garbe, C S, Krajsek, K, Pavlov, P, Andres, B, Mühlich, M, Stuke, I, Mota, C, Böhme, M, Haker, M, Schucher, T, Scharr, H, Aach, T and Barth, E (2008). Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns. Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer. 231-288

Leue, C, Wenig, M, Platt, U, Jähne, B and Haußecker, H (2000). NOX Emissions Retrieved from Satellite Images. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 654--655

Journal Article

Heiler, M and Schnörr, C (2005). Natural Image Statistics for Natural Image Segmentation. Int. J. Comp. Vision. 63 5–19

Goldlücke, B, Strekalovskiy, E and Cremers, D (2012). The natural vectorial total variation which arises from geometric measure theory. SIAM Journal on Imaging Sciences

Goldlücke, B, Strekalovskiy, E and Cremers, D (2012). The Natural Vectorial Total Variation which Arises from Geometric Measure Theory. SIAM Journal on Imaging Sciences. 5 537-563

Trittler, S and Hamprecht, F A (2009). Near-Optimum Sampling Design and an Efficient Algorithm for Single Tone Frequency Estimation. Digital Signal Processing. 19 628-639

Technical Report (511.23 KB)

Krasowki, N, Beier, T, Knott, G W, Köthe, U, Hamprecht, F A and Kreshuk, A (2017). Neuron Segmentation with High-Level Biological Priors. IEEE Transactions on Medical Imaging. 37

Renard, B Y, Kirchner, M, Steen, H, Steen, J A J and Hamprecht, F A (2008). NITPICK: Peak Identification for Mass Spectrometry Data. BMC Bioinformatics. 9 355

Technical Report (643.89 KB)

Jähne, B and Schwarzbauer, M (2016). Noise equalisation and quasi loss-less image data compression – or how many bits needs an image sensor?. tm – Technisches Messen. 83 16–24

Zisler, M, Kappes, J H, Schnörr, C, Petra, S and Schnörr, C (2016). Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Comp. Imaging. 2 335-347

Schnörr, C and Sprengel, R (1994). A Nonlinear Regularization Approach to Early Vision. Biol. Cybernetics. 72 141–149

Restle, J, Hissmann, M and Hamprecht, F A (2004). Nonparametric Smoothing of Height maps using ``Confidence'' values. Optical Engineering. 43 866-871

Technical Report (1.07 MB)

Bell, P, Schlecht, J and Ommer, B (2013). Nonverbal Communication in Medieval Illustrations Revisited by Computer Vision and Art History. Visual Resources Journal, Special Issue on Digital Art History. Taylor & Francis. 29 26--37. http://www.tandfonline.com/doi/abs/10.1080/01973762.2013.761111

Jehle, M and Jähne, B (2008). A novel method for three-dimensional three-component analysis of flow close to free water surfaces. Exp. Fluids. 44 469--480

Masters Thesis

Urban, G (2014). Neural Networks: Optimization And Applications. University of Heidelberg

Mbock, K (2009). A Novel Algorithm For Motion Estimation With Explicit Consideration Of Perturbations. University of Heidelberg

Ravindran, A (2019). Novel Deep Learning-Based Instance Segmentation Using Mutex Watershed For Microscopy Cell Images. Heidelberg University

Schulzke, E (2001). Numerische Simulation Von Elementaren Kalziumfreisetzungsereignissen Und Photolytische Ca^2+-Freisetzung Aus Käfigmolekülen Mittels Picosekundenlaser. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Miscellaneous

Jähne, (2012). Neuerungen zum EMVA Standard 1288, Der Release 3.1 des etablierten Standards zur Kameracharakterisierung

PhD Thesis

Stapf, J (2015). Novel learning-based techniques for dense fluid motion measurements. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/18116

Kirschbaum, E (2019). Novel Machine Learning Approaches for Neurophysiological Data Analysis. Heidelberg University

Voss, B (2012). Novel Single Camera Techniques for 3D3C Lagrangian Trajectory Measurements in Interfacial Flows. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/13362

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