#### Filter Results:

- Full text PDF available (22)

#### Publication Year

2005

2016

- This year (0)
- Last 5 years (15)
- Last 10 years (26)

#### Publication Type

#### Co-author

#### Journals and Conferences

#### Data Set Used

#### Key Phrases

Learn More

Multi-class labeling is one of the core problems in image analysis. We show how this combinatorial problem can be approximately solved using tools from convex optimization. We suggest a novel functional based on a multidimensional total variation formulation, allowing for a broad range of data terms. Optimization is carried out in the operator splitting… (More)

- Jan Lellmann, Florian Becker, Christoph Schnörr
- 2009 IEEE 12th International Conference on…
- 2009

We introduce a linearly weighted variant of the total variation for vector fields in order to formulate regularizers for multi-class labeling problems with non-trivial interclass distances. We characterize the possible distances, show that Euclidean distances can be exactly represented, and review some methods to approximate non-Euclidean distances in order… (More)

- Frank Lenzen, Kwang In Kim, +5 authors Christian Theobalt
- Time-of-Flight and Depth Imaging
- 2013

When considering the task of denoising ToF data, two issues arise concerning the optimal strategy. The first one is the choice of an appropriate denoising method and its adaptation to ToF data, the second one is the issue of the optimal positioning of the denoising step within the processing pipeline between acquisition of raw data of the sensor and the… (More)

- Martin Welk, Joachim Weickert, Florian Becker, Christoph Schnörr, Christian Feddern, Bernhard Burgeth
- Signal Processing
- 2007

We develop a concept for the median filtering of tensor data. The main part of this concept is the definition of median for symmetric matrices. This definition is based on the minimisation of a geometrically motivated objective function which measures the sum of distances of a variable matrix to the given data matrices. This theoretically well-founded… (More)

- Martin Welk, Florian Becker, Christoph Schnörr, Joachim Weickert
- Scale-Space
- 2005

Matrix-valued images gain increasing importance both as the output of new imaging techniques and as the result of image processing operations, bearing the need for robust and efficient filters for such images. Recently, a median filter for matrix-valued images has been introduced. We propose a new approach for the numerical computation of matrix-valued… (More)

- Florian Becker, Bernhard Wieneke, Stefania Petra, Andreas Schröder, Christoph Schnörr
- IEEE Transactions on Image Processing
- 2012

A variational approach is presented to the estimation of turbulent fluid flow from particle image sequences in experimental fluid mechanics. The approach comprises two coupled optimizations for adapting size and shape of a Gaussian correlation window at each location and for estimating the flow, respectively. The method copes with a wide range of particle… (More)

- Predrag Jakimovski, Florian Becker, Stephan Sigg, Hedda Rahel Schmidtke, Michael Beigl
- 2011 Seventh International Conference on…
- 2011

Intelligent Environments are currently implemented with standard WSN technologies using conventional connection-based communications. However, connection-based communications may impede progress towards IE scenarios involving high mobility or massive amounts of sensor nodes. We present a novel approach based on collective transmission for item level tagging… (More)

- Frank Lenzen, Florian Becker, Jan Lellmann, Stefania Petra, Christoph Schnörr
- Comp. Opt. and Appl.
- 2013

We introduce a class of adaptive non-smooth convex variational problems for image denoising in terms of a common data fitting term and a support functional as regularizer. Adaptivity is modeled by a set-valued mapping with closed, compact and convex values, that defines and steers the regularizer depending on the variational solution. This extension gives… (More)

- Florian Becker, Frank Lenzen, Jörg H. Kappes, Christoph Schnörr
- International Journal of Computer Vision
- 2011

We present an approach to jointly estimating camera motion and dense structure of a static scene in terms of depth maps from monocular image sequences in driver-assistance scenarios. At each instant of time, only two consecutive frames are processed as input data of a joint estimator that fully exploits second-order information of the corresponding… (More)

- Frank Lenzen, Florian Becker, Jan Lellmann
- SSVM
- 2013

Total variation (TV) regularization, originally introduced by Rudin, Osher and Fatemi in the context of image denoising, has become widely used in the field of inverse problems. Two major directions of modifications of the original approach were proposed later on. The first concerns adaptive variants of TV regularization, the second focuses on higher-order… (More)