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H. Haußecker and Jähne, B., “A tensor approach for local structure analysis in multi-dimensional images”, in 3D Image Analysis and Synthesis, 1996, p. 171--178.

H. Haußecker and Jähne, B., “A tensor approach for precise computation of dense displacement vector fields”, in Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig, 1997, p. 199--208.

H. Haußecker, Spies, H., and Jähne, B., “Tensor-based image sequence processing techniques for the study of dynamical processes”, in Proc. Intern. Symp. On Real-time Imaging and Dynamic Analysis, 1998, p. 704--711.

J. Shotton, Winn, J., Rother, C., and Criminisi, A., “TextonBoost for image understanding: Multi-class object recognition and segmentation by jointly modeling texture, layout, and context”, International Journal of Computer Vision, vol. 81, pp. 2–23, 2009.

J. Shotton, Winn, J., Rother, C., and Criminisi, A., “TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1–15.

M. Frank, Plaue, M., Rapp, H., Köthe, U., Jähne, B., and Hamprecht, F. A., “Theoretical and Experimental Error Analysis of Continuous-Wave Time-Of-Flight Range Cameras”, Optical Engineering, vol. 48, 013602, 2009.

Technical Report (2.03 MB)

M. Frank, Plaue, M., Rapp, H., Köthe, U., Jähne, B., and Hamprecht, F. A., “Theoretical and experimental error analysis of continuous-wave time-of-flight range cameras”, Opt. Eng., vol. 48, p. 013602, 2009.

H. Rapp, Frank, M., Hamprecht, F. A., and Jähne, B., “A Theoretical and Experimental Investigation of the Systematic Errors and Statistical Uncertainties of Time-of-Flight Cameras”, Int. J. Intelligent Systems Technologies and Applications, vol. 5, pp. 402-413, 2008.

Technical Report (798.23 KB)

H. Rapp, Frank, M., Hamprecht, F. A., and Jähne, B., “A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras”, Int. J. Intelligent Systems Technologies and Applications, vol. 5, p. 402--413, 2008.

H. Rapp, Frank, M., Hamprecht, F. A., and Jähne, B., “A theoretical and experimental investigation of the systematic errors and statistical uncertainties of time-of-flight cameras”, in Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007, 2007.

J. Weickert and Schnörr, C., “A Theoretical Framework for Convex Regularizers in PDE–Based Computation of Image Motion”, Int. J. Computer Vision, vol. 45, pp. 245–264, 2001.

M. Bühl and Hamprecht, F. A., “Theoretical Investigation of NMR Chemical Shifts and Reactivities of Oxovanadium (V) Compounds”, Journal of Computational Chemistry, vol. 19, pp. 113-122, 1998.

T. Rosenbaum, “Thermografische Messung der Temperatur metallischer Oberflächen”. Technische Universität Dresden, 2006.

C. S. Garbe, Schimpf, U., Schurr, U., and Jähne, B., “Thermographic measurements in environmental and bio sciences”, in Quantitative Infrared Thermography, 2002, vol. 6, p. 253--259.

C. S. Garbe, Nagel, L., Hung, L. - P., and Tsai, W. - T., “Thermographic measurements of the temperature difference across the air- water interface: results from experimental and numerical studies”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

C. S. Garbe, Schurr, U., and Jähne, B., “Thermographic measurements on plant leaves”, in ThermoSense, 2002, vol. 4710, p. 407--416.

T. Rosenbaum, Jähne, B., and Gerlach, G., “Thermographical measurement of temperatures on metallic surfaces”, in Sensor+Test 2006 Proceedings (OPTO 2006, IRS2 2006), Nürnberg, 30 May - 1 June 2006, AMA Fachverband für Sensorik, 2006, p. 327--330.

B. Jähne, Garbe, C. S., Schimpf, U., and Schurr, U., “Thermographie in den Umwelt- und Biowissenschaften”, DGZfP-Berichtsband 77. Deutsche Gesellschaft für zerstörungsfreie Prüfung e.V., 2001.

B. Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., Geißler, P., and Haußecker, H., “Thermography to measure water relations of plant leaves”, Handbook of Computer Vision and Applications, vol. 3: Systems and Applications. Academic Press, pp. 763-781, 1999.

B. Kümmerlen, Dauwe, S., Schmund, D., Schurr, U., Jähne, B., and Haußecker, H., “Thermography to measure water relations of plant leaves”, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 636--637, 2000.

D. Engelmann, Garbe, C. S., Stöhr, M., and Jähne, B., “Three dimensional flow dynamics beneath the air-water interface”, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 181--184.

P. Geißler, Dierig, T., Mallot, H. A., and Jähne, B., “Three-dimensional imaging algorithms”, Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press, p. 397--438, 2000.

C. Cali, Baghabra, J., Boges, D. J., Holst, G. R., Kreshuk, A., Hamprecht, F. A., Srinivasan, M., Lehväslaiho, H., and Magistretti, P. J., “Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues”, Journal of Comparative Neurology, vol. 524, pp. 23-38, 2015.

J. Schmähling, Hamprecht, F. A., and Hoffmann, D. M. P., “A three-dimensional measure of surface roughness based on mathematical morphology”, International Journal of Machine Tools and Manufacture, vol. 46 (14), pp. 1764-1769, 2006.

Technical Report (524.97 KB)

H. Kubinyi, Hamprecht, F. A., and Mietzner, T., “Threedimensional Quantitative Similarity-Activity Relationships (3DQSiAR) from SEAL Similarity Matrices”, Journal of Medicinal Chemistry, vol. 41, pp. 2553-2564, 1998.

A. Berthe, Kondermann, D., Christensen, C., Goubergrits, L., Garbe, C. S., Affeld, K., and Kertzscher, U., “Three-dimensional, three-component wall-PIV”, Exp. Fluids, vol. 48, p. online, 2010.

U. Lode, “Tiefenrekonstruktion vertikaler Konzentrationsprofile in der wasserseitigen Grenzschicht mittels spektroskopischer laserinduzierter Fluoreszenz (LIF)”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1998.

B. Goldlücke, Strekalovskiy, E., and Cremers, D., “Tight convex relaxations for vector-valued labeling”, SIAM Journal on Imaging Sciences, 2013.

J. - M. Gottfried, Nair, R., Meister, S., Garbe, C. S., and Kondermann, D., “Time of flight motion compensation revisited”, in International Conference on Image Processing, ICIP 2014, 2014.

M. Jäger, “Time Series Analysis and Classification with State-Space Models for Industrial Processes and the Life Sciences”. University of Heidelberg, 2007.

J. Davis, Jähne, B., Kolb, A., Raskar, R., Theobalt, C., Davis, J., Jähne, B., Raskar, R., Theobalt, C., and Kolb, A., Eds., “Time-of-Flight Imaging: Algorithms, Sensors and Applications (Dagstuhl Seminar 12431)”, Dagstuhl Reports, vol. 2, p. 79--104, 2013.

J. H. Kappes, Petra, S., Schnörr, C., and Zisler, M., “TomoGC: Binary Tomography by Constrained Graph Cuts”, in Proc.~GCPR, 2015.

Technical Report (2.46 MB)

J. H. Kappes, Petra, S., Schnörr, C., and Zisler, M., “TomoGC: Binary Tomography by Constrained Graph Cuts”, in Proc. GCPR, 2015.

S. Petra, Schnörr, C., Schröder, A., and Wieneke, B., “Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems”, in Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07), Constanta, Romania, 2007.

S. Petra and Schnörr, C., “TomoPIV meets Compressed Sensing”, IWR, University of Heidelberg, 2009.

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