F.  Savarino and Schnörr, C., ?A Variational Perspective on the Assignment Flow?, in Proc. SSVM, 2019.

D.  Heitz, Mémin, E., and Schnörr, C., ?Variational fluid flow measurements from image sequences: synopsis and perspectives?, Exp. Fluids, vol. 48, pp. 369-393, 2010.

A.  Vlasenko and Schnörr, C., ?Variational Approaches for Model-Based PIV and Visual Fluid Analysis?, Imaging Measurement Methods for Flow Analysis, vol. 106. Springer, pp. 247-256, 2009.

P.  Ruhnau, Stahl, A., and Schnörr, C., ?Variational Estimation of Experimental Fluid Flows with Physics-Based Spatio-Temporal Regularization?, Measurement Science and Technology, vol. 18, pp. 755-763, 2007.

C.  Schnörr, Schüle, T., and Weber, S., ?Variational Reconstruction with DC-Programming?, Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston, 2007.

P.  Ruhnau, Gütter, C., Putze, T., and Schnörr, C., ?A variational approach for particle tracking velocimetry?, Meas. Science and Techn., vol. 16, pp. 1449-1458, 2005.

N.  Paragios, Faugeras, O., Chan, T., and Schnörr, C., Eds., ?Variational, Geometric and Level Sets in Computer Vision (VLSM'05)?, lncs, vol. 3752. Springer, Beijing, China, 2005.

P.  Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., ?Variational Optical Flow Estimation for Particle Image Velocimetry?, Experiments in Fluids, vol. 38, pp. 21?32, 2005.

P.  Ruhnau, Kohlberger, T., Nobach, H., and Schnörr, C., ?Variational Optical Flow Estimation for Particle Image Velocimetry?, Proc. Lasermethoden in der Strömungsmeßtechnik. Deutsche Gesellschaft für Laser-Anemometrie GALA e.V., Karlsruhe, 2004.

T.  Kohlberger, Mémin, E., and Schnörr, C., ?Variational Dense Motion Estimation Using the Helmholtz Decomposition?, in Scale Space Methods in Computer Vision, 2003, vol. 2695, pp. 432?448.

J.  Weickert and Schnörr, C., ?Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint?, J. Math. Imaging and Vision, vol. 14, pp. 245?255, 2001.

C.  Schnörr, ?Variational Adaptive Smoothing and Segmentation?, in Computer Vision and Applications: A Guide for Students and Practitioners, San Diego, 2000, pp. 459?482.

C.  Schnörr and Weickert, J., ?Variational Image Motion Computation: Theoretical Framework, Problems and Perspectives?, in Mustererkennung 2000, Kiel, Germany, 2000.

C.  Schnörr, ?Variational Methods for Adaptive Image Smoothing and Segmentation?, in Handbook on Computer Vision and Applications: Signal Processing and Pattern Recognition, San Diego, 1999, vol. 2, pp. 451?484.

C.  Schnörr, ?Variational approaches to Image Segmentation and Feature Extraction?. University of Hamburg, Comp. Sci. Dept., Hamburg, Germany, 1998.

C.  Schnörr, Sprengel, R., and Neumann, B., ?A Variational Approach to the Design of Early Vision Algorithms?, Computing Suppl., vol. 11, pp. 149-165, 1996.