HCI Logo
Heidelberg University Logo
IWR Logo

Publications

Export 44 results:
Author Title [ Type(Desc)] Year
Filters: Author is Björn Andres  [Clear All Filters]
Journal Article
J. Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., “Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data”, CVPR 2012. Proceedings, pp. 1004-1011, 2012.PDF icon Technical Report (1.64 MB)
B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., “On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation”, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.PDF icon Technical Report (1.58 MB)
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., “How to Extract the Geometry and Topology from Very Large 3D Segmentations”, ArXiv e-prints, 2010.PDF icon Technical Report (1.44 MB)
B. Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., “The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search”, ArXiv e-prints, 2010.PDF icon Technical Report (625.06 KB)
B. Andres, Beier, T., and Kappes, J. H., “OpenGM: A C++ Library for Discrete Graphical Models”, ArXiv e-prints, 2012.
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., “Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x”, ArXiv e-prints, 2010.PDF icon Technical Report (415.54 KB)
Masters Thesis
B. Andres, “Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis”, University of Heidelberg, 2007.
B. Andres, “Model Selection in Optical Flow-Based Motion Estimation by Means of Residual Analysis”, University of Heidelberg, 2007.
PhD Thesis
B. Andres, “Automated Segmentation of Large 3D Images of Nervous Systems Using a Higher-order Graphical Model”. University of Heidelberg, 2011.

Pages