Publications
Convex Set-Based Estimation of Image Flows. ICPR 2004 -- 17th Int.~Conf.~on Pattern Recognition. IEEE. 1 124-127
(2004). Variational Optical Flow Estimation for Particle Image Velocimetry. Proc. Lasermethoden in der {S}trömungsmeßtechnik. Deutsche {G}esellschaft für {L}aser-{A}nemometrie {GALA} e.V., Karlsruhe
(2004). Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation. Scale-Space 2005. Springer. 3459 267--278
(2005). (2005). Variational Optical Flow Estimation for Particle Image Velocimetry. Experiments in Fluids. 38 21--32
Technical Report (1.21 MB)
(2005). 
A Distributed Parameter Approach to Dynamic Image Motion. ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision. LNCS, Springer
Technical Report (1.24 MB)
(2006). 
On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization. Proc.~DAGM 2006. Springer. 375-388 375-388
Technical Report (902.47 KB)
(2006). 
Double-pulse planar-LIF investigations using fluorescence motion analysis for mixture formation investigation. 7th International Symposium on Particle Image Velocimetry Rome, 11. - 14.Sept
(2007). Optical Stokes Flow Estimation: An Imaging-Based Control Approach. Exp.~in Fluids. 42 61--78
Technical Report (1.54 MB)
(2007). 
Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization. Measurement Science and Technology. 18 755-763
Technical Report (842.06 KB)
(2007). 
(2008).
(2012).
CNN based dark signal non-uniformity estimation. Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on. 1--6
(2012). Scene based maximum likelihood PRNU and DSNU non uniformity correction. Forum Bildverarbeitung. KIT Scientific Publishing. 71--82. http://digbib.ubka.uni-karlsruhe.de/volltexte/1000030440
(2012). PRNU and DSNU Maximum Likelihood Estimation Using Sensor Statistics. tm --- Technisches Messen. 80 321--328
(2013).