Publications

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(2004). Retrieval and analysis of stratospheric NO$_2$ from the Global Ozone Monitoring Experiment. J. Geophys. Res. 109 D04315, 1--11
(1997). The research unit (Forschergruppe) Image Sequence Processing to Study Dynamical Processes. Proc.\ 3D Image Analysis and Synthesis'97, Erlangen (Germany), November 17--18, 1997. infix. 107--114
(2000). Representation of multidimensional signals. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 211--272
(2000). Representation of multidimensional signals. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 211--272
(1997). Report Group 1 - Physical processes in the microlayer and the air-sea exchange of trace gases. The Sea Surface and Global Change. Cambridge University Press. 1--33
(2001). Reliable estimates of the sea surface heat flux from image sequences. Proceedings of the 23th DAGM Symposium on Pattern Recognition, München. Springer. 194--201
(2016). Relative Pose Estimation from Straight Lines using Parallel Line Clustering and its Application to Monocular Visual Odometry. Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
(1997). Rekonstruktion von Schreiberkurven. Mustererkennung 1997. Springer. 527--536
(2000). Regularised range flow. European Conference on Computer Vision (ECCV). Springer. 2 785--799
(2014). Registration of a multi-camera system with a 3D laser range finder. 9th Workshop Driver Assistance Systems (FAS2014), 26.-28.03.2014, Walting. 37--46. http://www.uni-das.de/de/Veranstaltungen/fas2014.php
(2008). Range flow estimation based on photonic mixing device data. Int. J. Intelligent Systems Technologies and Applications. 5 380--392
(2007). Range flow estimation based on photonic mixing device data. Proc.\ Dyn3D Workshop, Heidelberg, Sept. 11, 2007. ZESS, Univ.\ Siegen
(2002). Range flow estimation.. Computer Vision and Image Understanding. 85 209--231
(2000). Radiometry of imaging. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 85--109
(1999). Radiometry of imaging. Handbook of Computer Vision and Applications. Academic Press. 1: Sensors and Imaging 103--135
(2009). Radiometric and spectrometric calibrations, and distance noise measurement of TOF cameras. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 28--41
(2000). Radiation and illumination. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 11--52
(1999). Radiation. Handbook of Computer Vision and Applications. Academic Press. 1: Sensors and Imaging 7--35
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(2013). PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics. tm --- Technisches Messen. 80 321--328
(1999). Principles of Filter Design. Handbook of Computer Vision and Applications. Academic Press. 2 125--151
(1999). Principles of Filter Design. Handbook of Computer Vision and Applications. Academic Press. 2 125--151
(2004). Pressure fluctuations within subsurface gravel bed caused by turbulent open-channel flow. Proc. of River Flow 2004. A. A. Balkema Publishers. 695-701
Jähne, (1997). Practical Handbook On Image Processing For Scientific Applications. CRC-Press, Boca Raton, FL, USA
Jähne, (2012). Plenoptic image acquisition and processing. Proc.\ Int. Symp. Microoptical Imaging and Projection (MIPS2012). 87--89
(1999). Plant-leaf growth studied by image sequence analysis. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 719-735
(2002). Physics from IR image sequences: Quantitative analysis of transport models and parameters of air-sea gas transfer. Gas Transfer at Water Surfaces. American Geophysical Union. 127 103--108
(2009). A physical model of Time-of-Flight 3D imaging systems, including suppression of ambient light. 3rd Workshop on Dynamic 3-D Imaging. Springer. 5742 1--15
(1997). Performance characteristics of low-level motion estimators in spatiotemporal images. DAGM-Workshop Performance Characteristics and Quality of Computer Vision Algorithms, Braunschweig, September 18, 1997. Institute of Photogrammetry, Univ.\ Bonn
(2000). Performance characteristics of low-level motion estimation in spatiotemporal images. Performance Characterization in Computer Vision. Kluwer, Dordrecht. pp. 139-152