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H
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., “How to Extract the Geometry and Topology from Very Large 3D Segmentations”, ArXiv e-prints, 2010.PDF icon Technical Report (1.44 MB)
M. Schmidt, “How to perform camera measurements according to the EMVA 1288 Standard.”. 2008.
B. Jähne, Jähne, B., and Haußecker, H., “Hyperspectral and color imaging”, Handbook of Computer Vision and Applications. Volume I: Sensors and Imaging. Academic Press, p. 309--320, 1999.
I
J. Kleesiek, Biller, A., Urban, G., Köthe, U., Bendszus, M., and Hamprecht, F. A., “ilastik for Multi-modal Brain Tumor Segmentation”, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace, 2014, pp. 12-17.PDF icon Technical Report (405.91 KB)
C. Sommer, Straehle, C. N., Köthe, U., and Hamprecht, F. A., “ilastik: Interactive Learning and Segmentation Toolkit”, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings, 2011, pp. 230-233.
S. Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., “ilastik: interactive machine learning for (bio)image analysis”, Nature Methods, vol. 16, pp. 1226-1232, 2019.
H. Haußecker, Jähne, B., Geißler, P., and Haußecker, H., “Illumination sources and techniques”, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 137--162, 1999.
F. O. Kaster, “Image Analysis for the Life Sciences - Computer-assisted Tumor Diagnostics and Digital Embryomics”. University of Heidelberg, 2011.
C. Schellewald, Keuchel, J., and Schnörr, C., “Image labeling and grouping by minimizing linear functionals over cones”, in Proc. Third Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'01), INRIA, Sophia Antipolis, France, 2001, vol. 2134, pp. 267–282.
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.PDF icon Technical Report (2.62 MB)
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”, SIAM J. Imaging Science, vol. 11, pp. 1317–1362, 2018.
R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”. 2017.
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., “Image Labeling by Assignment”, J. Math. Imag. Vision, vol. 58, pp. 211–238, 2017.
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., “Image Labeling by Assignment”. 2016.
J. Schleicher, “Image Processing for Super-Resolution Localization Microscopy Utilizing an FPGA Accelerator”, University of Heidelberg, 2011.
M. Zisler, Aström, F., Petra, S., and Schnörr, C., “Image Reconstruction by Multilabel Propagation”, in Proc. SSVM, 2017, vol. 10302.
V. Lempitsky, Blake, A., and Rother, C., “Image segmentation by branch-and-mincut”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
V. Lempitsky, Blake, A., and Rother, C., “Image segmentation by branch-and-mincut”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008, vol. 5305 LNCS, pp. 15–29.
V. Lempitsky, Kohli, P., Rother, C., and Sharp, T., “Image segmentation with a bounding box prior”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, pp. 277–284.
M. Geese, “Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.
M. Geese, “Image Sensor Nonuniformity Correction by a Scene-Based Maximum Likelihood Approach”, vol. Dissertation. IWR, Univ. Heidelberg, 2013.
B. Jähne, “Image sequence analysis in environmental and live sciences”, in Proceedings of the 25th DAGM Symposium on Pattern Recognition, 2003, vol. 2781, p. 608--617.
B. Jähne, “Image sequence analysis of complex physical objects: nonlinear small scale water surface waves”, in Proc. of 1st International Conference on Computer Vision, 1987, p. 191--200.
B. Jähne, Klinke, J., Geißler, P., and Hering, F., “Image sequence analysis of ocean wind waves”, in Imaging in Transport Processes, 1993, p. 257--268.
M. Wenig, Leue, C., Kraus, S., Wagner, T., Platt, U., and Jähne, B., “Image sequence analysis of satellite NO$_2$ concnetration maps”, in Pattern Recognition, 23rd DAGM Symposium Munich, 2001, vol. 2191, p. 223--230.
B. Jähne, Jähne, B., and Haußecker, H., “Image warping”, Handbook of Computer Vision and Applications. Volume II: Signal Processing and Pattern Recognition. Academic Press, p. 193--206, 1999.
P. Esser, Rombach, R., Blattmann, A., and Ommer, B., “ImageBART: Bidirectional Context with Multinomial Diffusion for Autoregressive Image Synthesis”. 2021.
E. Töppe, Oswald, M. R., Cremers, D., and Rother, C., “Image-based 3D modeling via cheeger sets”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, vol. 6492 LNCS, pp. 53–64.
M. Frank and Hamprecht, F. A., “Image-Based Supervision of a Periodically Working Machine”, Pattern Analysis and Applications, pp. 1-10, 2011.PDF icon Technical Report (466.61 KB)
A. Falkenroth and Jähne, B., “Imaging concentration profiles of water boundary layer by Double-Dye LIF and inverse modelling”, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
B. Jähne, “Imaging of gas transfer across gas/liquid interfaces”, in Imaging in Transport Processes, 1993, p. 247--256.
B. Jähne, Klinke, J., and Waas, S., “Imaging of short ocean wind waves: a critical theoretical review”, J. Opt. Soc. Am. A, vol. 11, p. 2197--2209, 1994.
A. G. Herzog, “Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2010.
B. Jähne and Geißler, P., “An imaging optical technique for bubble measurements”, in Proc. Sea Surface Sound '94, 1995, p. 290--296.
P. Geißler, Jähne, B., Geißler, P., and Haußecker, H., “Imaging optics”, Handbook of Computer Vision and Applications, vol. 1: Sensors and Imaging. Academic Press, p. 63--101, 1999.

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