Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

An efficient approach to the identification of characteristic intensity variations.

K. Rohr, and C. Schnörr. Image Vision Comput., 11 (5): 273-277 (1993)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Dipl.-Ing. Karl Kübler

Approach for manufacturer independent automated machine tool control software testK. Kübler, A. Neyrinck, J. Schlechtendahl, A. Lechler, and A. Verl. Progress in production engineering; selected, peer reviewed papers from the 2015 WGP Congress, September 7 - 8, 2015, Hamburg, Germany, 794, page 347-354. Pfaffikon, Trans Tech Publ., (2015)

Dr. Norbert Röhrl University of Stuttgart

Philipp Karl University of Stuttgart

Kristian Karlovic

Prof. Dr. Christian Rohrer University of Stuttgart

Other publications of authors with the same name

Development and validation of a multi-step approach to improved detection of 3D point landmarks in tomographic images.S. Frantz, K. Rohr, and H. Stiehl. Image Vision Comput., 23 (11): 956-971 (2005)Modelling and identification of characteristic intensity variations.K. Rohr. Image Vision Comput., 10 (2): 66-76 (1992)A 3D intensity model based on spherical harmonics for automatic 3D segmentation of heterochromatin foci.S. Eck, K. Rohr, A. Biesdorf, K. Müller-Ott, K. Rippe, and S. Wörz. ISBI, page 1484-1487. (2013)Non-rigid Temporal Alignment of 2D and 3D Multi-channel Microscopy Image Sequences of Human Cells.I. Kim, S. Yang, P. Baccon, E. Heard, C. Kappel, R. Eils, and K. Rohr. Bildverarbeitung für die Medizin, page 16-20. Springer, (2007)Direct combination of multi-scale detection and multi-frame association for tracking of virus particles in microscopy image data.A. Jaiswal, W. Godinez, M. Lehmann, and K. Rohr. ISBI, page 976-979. IEEE, (2016)Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration.S. Wörz, P. Hoegen, W. Liao, M. Müller-Eschner, H. Kauczor, H. von Tengg-Kobligk, and K. Rohr. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978419. SPIE, (2016)3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data.S. Wörz, A. Alrajab, R. Arnold, J. Eichhorn, H. von Tengg-Kobligk, J. Schenk, and K. Rohr. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90340K. SPIE, (2014)Auf dem Wege zu modellgestütztem Erkennen von bewegten nicht-starren Körpern in Realweltbildfolgen.K. Rohr. DAGM-Symposium, volume 219 of Informatik-Fachberichte, page 324-328. Springer, (1989)New Approximating Gaussian Elastic Body Splines for Landmark-Based Registration of Medical Images.S. Wörz, and K. Rohr. Bildverarbeitung für die Medizin, page 206-210. Springer, (2006)Coupling of fluid and elastic models for biomechanical simulations of brain deformations using FEM.A. Hagemann, K. Rohr, and H. Stiehl. Medical Image Analysis, 6 (4): 375-388 (2002)