@conference {Bodnariuc2015,
	title = {Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV},
	booktitle = {Proc.~EMMCVPR},
	volume = {8932},
	year = {2015},
	pages = {378--391},
	publisher = {Springer},
	organization = {Springer},
	author = {Ecaterina Bodnariuc and Gurung, A. and Stefania Petra and Christoph Schn{\"o}rr}
}
@conference {5977,
	title = {Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV},
	booktitle = {EMMCVPR},
	year = {2015},
	author = {Ecaterina Bodnariuc and Gurung, A. and Stefania Petra and Christoph Schn{\"o}rr}
}
@article {Gianniotis2015,
	title = {Approximate variational inference based on a finite sample of Gaussian latent variables},
	journal = {Patt.~Anal.~Appl.},
	year = {2015},
	doi = {10.1007/s10044-015-0496-9},
	author = {Gianniotis, N. and Christoph Schn{\"o}rr and Molkenthin, C. and Bora, S.S.}
}
@article {Petra2014,
	title = {Average Case Recovery Analysis of Tomographic Compressive Sensing},
	journal = {Linear Algebra and its Applications},
	volume = {441},
	year = {2014},
	note = {Special issue on Sparse Approximate Solution of Linear Systems},
	pages = {168-198},
	author = {Stefania Petra and Christoph Schn{\"o}rr}
}
@techreport {petra09b,
	title = {Accelerating Constrained SIRT with Applications in Tomographic Particle Image Reconstruction},
	year = {2009},
	institution = {IWR, University of Heidelberg},
	url = {http://www.ub.uni-heidelberg.de/archiv/9477},
	author = {Stefania Petra and Popa, C. and Christoph Schn{\"o}rr}
}
@conference {kondermann2007,
	title = {An adaptive confidence measure for optical flows based on linear subspace projections},
	booktitle = {Proceedings of the 29th DAGM Symposium on Pattern Recognition},
	volume = {4713},
	year = {2007},
	pages = {132--141},
	publisher = {Springer},
	organization = {Springer},
	abstract = {Confidence measures are important for the validation of optical flow fields by estimating the correctness of each displacement vector. There are several frequently used confidence measures, which have been found of at best intermediate quality. Hence, we propose a new confidence measure based on linear subspace projections. The results are compared to the best previously proposed confidence measures with respect to an optimal confidence. Using the proposed measure we are able to improve previous results by up to 31\%.},
	doi = {10.1007/978-3-540-74936-3_14},
	author = {Claudia Kondermann and Daniel Kondermann and Bernd J{\"a}hne and Christoph S. Garbe and Christoph Schn{\"o}rr and Bernd J{\"a}hne},
	editor = {Fred A. Hamprecht}
}
@article {Hinterberger-et-al-02,
	title = {Analysis of Optical Flow Models in the Framework of Calculus of Variations},
	journal = {Numer. Funct. Anal. Optimiz.},
	volume = {23},
	number = {1/2},
	year = {2002},
	pages = {69{\textendash}89},
	author = {Hinterberger, Walter and Scherzer, Otmar and Christoph Schn{\"o}rr and Weickert, Joachim}
}
