HCI Logo
Heidelberg University Logo
IWR Logo

Publications

Export 1963 results:
[ Author(Desc)] Title Type Year
Filters: Filter is   [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
B
G. Balschbach, Klinke, J., and Jähne, B., “Multichannel shape from shading techniques for moving specular surfaces”, in ECCV 1998, 1998, vol. 1407, p. 170--184.
G. Balschbach, “Verschiedene Verfahren zur Visualisierung und Größenbestimmung von Gasblasen in Wasser”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1994.
G. Balschbach, “Untersuchungen statistischer und geometrischer Eigenschaften von Windwellen und ihrer Wechselwirkung mit der wasserseitigen Grenzschicht”. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.
G. Balschbach, “HD-WHOI Measurements October 2004 CISG”, Institute for Environmental Physics, University of Heidelberg, 2004.
D. Banerjee, Schabel, S., Garbe, C. S., Schimpf, U., Jähne, B., and von Spiegel, W., “High resolution optical measurement techniques in paper drying”, Inpaper International - 9-10, vol. 4. p. 16--22, 2005.
D. Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., “An active thermographic technique for highly resolved heat transport measurements in paper drying”, in 61st Appita Annual Conference Proceedings, 2007, pp. 161-167.
D. Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., “An active thermographic technique for highly resolved heat transport measurements in paper drying”, APPITA Journal, vol. 61, p. 244--249, 2008.
M. Barabas, “Aufbau und Weiterentwicklung von optischen Verfahren zur Messung von Gasblasen in Wasser; Messungen von Blasendichtespektren in Wind/Wasser-Kanälen in Marseille und Heidelberg”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1985.
J. L. Barron, Liptay, A., and Spies, H., “Optical and range flow to measure 3D plant growth and motion”, in Image Vision Computing New Zealand, 2000, p. 68--77.
J. L. Barron and Spies, H., “Quantitative regularized range flow”, in Vision Interface, 2000, p. 203--210.
J. L. Barron and Spies, H., “The fusion of image and range flow”, Multi-Image Search and Analysis. Springer, p. 174--192, 2001.
P. Salomon Bauer, “Development of an imaging polarimeter for water wave slope measurements”, Institut für Umwelphysik, Univeristät Heidelberg, Germany, 2013.
H. Peter Bäumler, “Entwicklung eines Scheimpflug-Stereo-Systems zur Strömungsvisualisierung in Grenzschichten”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.
U. Baus, “Phasenmessende Streifenreflektometrie mit Stereo-Monitor-Anordnung zur Vermessung von nicht stetigen spiegelnden Präzisionsflächen”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2007.
M. Baust, Weinmann, A., Wieczorek, M., Lasser, T., Storath, M., and Navab, N., “Combined Tensor Fitting and TV Regularization in Diffusion Tensor Imaging based on a Riemannian Manifold Approach”, IEEE Transactions on Medical Imaging, vol. 35, no. 8, pp. 1972–1989, 2016.PDF icon Technical Report (8.65 MB)
M. Bautista, Sanakoyeu, A., Sutter, E., and Ommer, B., “CliqueCNN: Deep Unsupervised Exemplar Learning”, in Proceedings of the Conference on Advances in Neural Information Processing Systems (NIPS), Barcelona, 2016.PDF icon Article (5.79 MB)
M. Bautista, Fuchs, P., and Ommer, B., “Learning Where to Drive by Watching Others”, Proceedings of the German Conference Pattern Recognition, vol. 1. Springer-Verlag, Basel, 2017.
M. Bautista, Sanakoyeu, A., and Ommer, B., “Deep Unsupervised Similarity Learning using Partially Ordered Sets”, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.PDF icon deep_unsupervised_similarity_learning_cvpr_2017_paper.pdf (905.82 KB)
F. Becker, Wieneke, B., Yuan, J., and Schnörr, C., “Variational Correlation Approach to Flow Measurement with Window Adaption”, in 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2008, p. 1.1.3.PDF icon Technical Report (3.37 MB)
F. Becker, Wieneke, B., Yuan, J., and Schnörr, C., “A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 335--344.PDF icon Technical Report (1.82 MB)
F. Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., “Variational Adaptive Correlation Method for Flow Estimation”, IEEE Transactions on Image Processing, vol. 21, p. 3053 -- 3065, 2012.PDF icon Technical Report (18.81 MB)
F. Becker and Schnörr, C., “Decomposition of Quadratric Variational Problems”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.PDF icon Technical Report (1.29 MB)
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, p. 1692 -- 1699.PDF icon Technical Report (4.9 MB)
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105, no. 3, p. 269--297, 2013.PDF icon Technical Report (15.4 MB)
M. Becker, Baron, M., Kondermann, D., Bussler, M., and Helzle, V., “Movie Dimensionalization Via Sparse User Annotations”, in submitted to 3DTV-Con, 2013.
M. Becker, “Framework for 3D Reconstruction and Camera Motion. Estimation from Multiple Camera Views”, University of Heidelberg, 2011.
F. Becker, Wieneke, B., Yuan, J., and Schnörr, C., “Variational Correlation Approach to Flow Measurement with Window Adaption”, in 14th International Symposium on Applications of Laser Techniques to Fluid Mechanics, 2008, p. 1.1.8.
F. Becker, Wieneke, B., Yuan, J., and Schnörr, C., “A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry"”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, pp. 335-344.
F. Becker, Wieneke, B., Petra, S., Schröder, A., and Schnörr, C., “Variational Adaptive Correlation Method for Flow Estimation”, IEEE Transactions on Image Processing, vol. 21, 6, pp. 3053 - 3065, 2011.
F. Becker and Schnörr, C., “Decomposition of Quadratric Variational Problems”, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 325--334.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, in 2011 IEEE International Conference on Computer Vision ICCV, 2011, pp. 1692-1699.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105 (3), pp. 269-297, 2013.
F. Becker, “Variational Correlation and Decomposition Methods for Particle Image Velocimetry”. Heidelberg University, Faculty of Mathematics and Computer Sciences, Heidelberg, Germany, 2009.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, International Journal of Computer Vision, vol. 105, pp. 269–297, 2013.
F. Becker, Lenzen, F., Kappes, J. H., and Schnörr, C., “Variational Recursive Joint Estimation of Dense Scene Structure and Camera Motion from Monocular High Speed Traffic Sequences”, in 2011 IEEE International Conference on Computer Vision (ICCV), 2011, pp. 1692 – 1699.

Pages