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DAGM
2008
Springer
8 years 10 months ago
Optical Rails
We present a view-based method for steering a robot in a network of positions; this includes navigation along a prerecorded path, but also allows for arbitrary movement of the robo...
Holger Friedrich, David Dederscheck, Eduard Rosert...
DAGM
2008
Springer
8 years 10 months ago
Simple Incremental One-Class Support Vector Classification
We introduce the OneClassMaxMinOver (OMMO) algorithm for the problem of one-class support vector classification. The algorithm is extremely simple and therefore a convenient choice...
Kai Labusch, Fabian Timm, Thomas Martinetz
DAGM
2008
Springer
8 years 10 months ago
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
Abstract. Virtually all variational methods for motion estimation regularize the gradient of the flow field, which introduces a bias towards piecewise constant motions in weakly te...
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
DAGM
2008
Springer
8 years 10 months ago
Space-Time Multi-Resolution Banded Graph-Cut for Fast Segmentation
Abstract. Applying real-time segmentation is a major issue when processing every frame of image sequences. In this paper, we propose a modification of the well known graph-cut algo...
Tobi Vaudrey, Daniel Gruber, Andreas Wedel, Jens K...
DAGM
2008
Springer
8 years 10 months ago
Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification
Three-dimensional electron-microscopic image stacks with almost isotropic resolution allow, for the first time, to determine the complete connection matrix of parts of the brain. I...
Björn Andres, Ullrich Köthe, Moritz Helm...
DAGM
2008
Springer
8 years 10 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof
DAGM
2008
Springer
8 years 10 months ago
An Evolutionary Approach for Learning Motion Class Patterns
This article presents a genetic learning algorithm to derive discrete patterns that can be used for classification and retrieval of 3D motion capture data. Based on boolean motion ...
Meinard Müller, Bastian Demuth, Bodo Rosenhah...
DAGM
2008
Springer
8 years 10 months ago
A Variational Approach to Adaptive Correlation for Motion Estimation in Particle Image Velocimetry
In particle image velocimetry (PIV) a temporally separated image pair of a gas or liquid seeded with small particles is recorded and analysed in order to measure fluid flows therei...
Florian Becker, Bernhard Wieneke, Jing Yuan, Chris...
DAGM
2008
Springer
8 years 10 months ago
MAP-Inference for Highly-Connected Graphs with DC-Programming
The design of inference algorithms for discrete-valued Markov Random Fields constitutes an ongoing research topic in computer vision. Large state-spaces, none-submodular energy-fun...
Jörg H. Kappes, Christoph Schnörr
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