DAGM
2010
Springer
13 years 4 months ago
2010
Springer
We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environment...
DAGM
2010
Springer
13 years 4 months ago
2010
Springer
In this article we propose a method for parameter learning within the energy minimisation framework for segmentation. We do this in an incremental way where user input is required ...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method pr...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Approximations based on random Fourier features have recently emerged as an efficient and elegant methodology for designing large-scale kernel machines [4]. By expressing...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. Image fusion in high-resolution aerial imagery poses a challenging problem due to fine details and complex textures. In particular, color image fusion by using virtual or...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
We propose a new approach for integrating geometric scene knowledge into a level-set tracking framework. Our approach is based on a novel constrained-homography transformation mode...
DAGM
2010
Springer
13 years 5 months ago
2010
Springer
In this paper we present a novel approach for expanding spherical 3D-tensor fields of arbitrary order in terms of a tensor valued local Fourier basis. For an efficient implementati...