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3

N. Kirchgeßner, Scharr, H., and Schurr, U., “3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion Verfahrens”, in Proceedings of the 22th DAGM Symposium on Pattern Recognition, 2000, p. 381--388.

A

H. Spies and Scharr, H., “Accurate optical flow in noisy image sequences”, in ICCV, 2001, p. 587--592.

H. Scharr and Weickert, J., “An anisotropic diffusion algorithm with optimized rotation invariance”, in Proceedings of the 22th DAGM Symposium on Pattern Recognition, 2000, p. 460--467.

C

B. Jähne, Complex Motion, Proceedings of the 1st Workshop, Günzburg, October 2004, vol. 3417. Springer, 2007.

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H. Spies, Kirchgeßner, N., Scharr, H., and Jähne, B., “Dense structure estimation via regularised optical flow”, in VMV 2000, 2000, p. 57--64.

H. Scharr, “Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.

F

H. Scharr, Jähne, B., Böckle, S., Kazenwadel, J., Kunzelmann, T., Schulz, C., and Krüger, N., “Flame front analysis in turbulent combustion”, in Mustererkennung 2000, 2000, p. 325--332.

L

H. Scharr and Küsters, R., “A linear model for simultaneous estimation of 3D motion and depth”, in Proceedins of IEEE Workshop on Motion and Video Computing 2002, Orlando, 2002.

N

C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E., “Nonlinear Analysis of Multi-Dimensional Signals”, Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.

Technical Report (7.11 MB)

C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E., “Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns”, Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.

H. Scharr, Körkel, S., and Jähne, B., “Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung”, in Proceedings of the 19th DAGM Symposium on Pattern Recognition, Braunschweig, 1997, p. 199--208.

O

H. Scharr, “Optimal separable interpolation of color images with bayer array format”, DFG research unit Image Sequence Analysis to Investigate Dynamic Processes, Interdisciplinary Center for Scientific Computing, University of Heidelberg, Germany, 2000.

H. Scharr, “Optimale Operatoren in der Digitalen Bildverarbeitung”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.

P

B. Jähne, Scharr, H., Körkel, S., Jähne, B., Haußecker, H., and Geißler, P., “Principles of Filter Design”, Handbook of Computer Vision and Applications, vol. 2. Academic Press, p. 125--151, 1999.

R

N. Kirchgeßner, Spies, H., Scharr, H., and Schurr, U., “Root Growth Analysis in Physiological Coordinates”, in International Conference on Image Analysis and Processing (ICIAP'01), 2001.

N. Kirchgeßner, Spies, H., Scharr, H., and Schurr, U., “Root Growth Measurements in Object Coordinates”, in Proceedings of the 23th DAGM Symposium on Pattern Recognition, 2001.

S

B. Jähne, Haußecker, H., Scharr, H., Spies, H., Schmund, D., and Schurr, U., “Study of dynamical processes with tensor-based spatiotemporal image processing techniques”, in ECCV 1998, 1998, vol. 1407, p. 322--336.

V

F. Raisch, Scharr, H., Kirchgeßner, N., Jähne, B., Fink, R. H. A., and Uttenweiler, D., “Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences”, in Proc. 2nd IASTED Int. Conf. Visualization, Imaging and Image Processing, 2002, p. 645--650.