Techreport
A. Bruhn, Weickert, J., Feddern, C., Kohlberger, T., and Schnörr, C.,
“Variational Optic Flow Computation in Real-Time”, Dept. Math. and Comp. Science, Saarland University, Germany, 89, 2003.
U. Köthe,
“Reliable Low-Level Image Analysis”,
Habilitation thesis. Department Informatik, University of Hamburg, Hamburg, 2008.
Technical Report (12.44 MB) C. Schellewald, Roth, S., and Schnörr, C.,
“Performance Evaluation of a Convex Relaxation Approach to the Quadratic Assignment of Relational Object Views”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 02/2002, 2002.
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.
B. Jähne,
“Methoden zur schnellen und genauen Messung der Gasaustauschrate im Aelotron mit Gasen niedriger und hoher Löslichkeit”, Forschungsgruppe Bildverarbeitung, Interdisziplinäres Zentrum für Wissenschaftliches Rechnen und Institut für Umweltphysik, Universität Heidelberg, 2009.
J. Heers, Schnörr, C., and Stiehl, H. S.,
“Investigating a class of iterative schemes and their parallel implementation for nonlinear variational image smoothing and segmentation”, Comp. Sci. Dept., AB KOGS, University of Hamburg, Germany, 283/99, 1999.
G. Balschbach,
“HD-WHOI Measurements October 2004 CISG”, Institute for Environmental Physics, University of Heidelberg, 2004.
M. Jehle,
“HCI's Parabolic Lighting Facility - Design and Usage”, Heidelberg Collaboratory for Image Processing, University of Heidelberg, 2011.
A. Nicola, Petra, S., Popa, C., and Schnörr, C.,
“On a general extending and constraining procedure for linear iterative methods”, IWR, University of Heidelberg, 2009.
A. Nicola, Petra, S., Popa, C., and Schnörr, C.,
“On a general extending and constraining procedure for linear iterative methods”, IWR, University of Heidelberg, 2009.
Technical Report (799.47 KB) M. Heiler, Cremers, D., and Schnörr, C.,
“Efficient Feature Subset Selection for Support Vector Machines”, Dept. Math. and Comp. Science, University of Mannheim, Germany, 21/2001, 2001.