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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.
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.
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.
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.
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.
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.
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.
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.