| 2008 |
|---|
| 11 | EE | Kai Krajsek,
Rudolf Mester,
Hanno Scharr:
Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation.
DAGM-Symposium 2008: 466-475 |
| 10 | EE | Kai Krajsek,
Marion I. Menzel,
Michael Zwanger,
Hanno Scharr:
Riemannian Anisotropic Diffusion for Tensor Valued Images.
ECCV (4) 2008: 326-339 |
| 9 | EE | Tobias Preusser,
Hanno Scharr,
Kai Krajsek,
Robert M. Kirby:
Building Blocks for Computer Vision with Stochastic Partial Differential Equations.
International Journal of Computer Vision 80(3): 375-405 (2008) |
| 2007 |
|---|
| 8 | EE | Kai Krajsek,
Rudolf Mester:
Bayesian Model Selection for Optical Flow Estimation.
DAGM-Symposium 2007: 142-151 |
| 7 | EE | Holger Friedrich,
David Dederscheck,
Kai Krajsek,
Rudolf Mester:
View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results.
DAGM-Symposium 2007: 21-31 |
| 6 | EE | Jakub K. Kominiarczuk,
Kai Krajsek,
Rudolf Mester:
Highly Accurate Orientation Estimation using Steerable Filters.
ICIP (5) 2007: 277-280 |
| 2006 |
|---|
| 5 | EE | Kai Krajsek,
Rudolf Mester:
The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images.
DAGM-Symposium 2006: 91-100 |
| 4 | EE | Kai Krajsek,
Rudolf Mester:
A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods.
ICIP 2006: 1081-1084 |
| 3 | | Kai Krajsek,
Rudolf Mester:
An unified theory for steerable and quadrature filters.
VISAPP (1) 2006: 48-55 |
| 2005 |
|---|
| 2 | EE | Kai Krajsek,
Rudolf Mester:
Signal and Noise Adapted Filters for Differential Motion Estimation.
DAGM-Symposium 2005: 476-484 |
| 2004 |
|---|
| 1 | EE | Kai Krajsek,
Rudolf Mester:
Wiener-Optimized Discrete Filters for Differential Motion Estimation.
IWCM 2004: 30-41 |
