Optical flow estimation is one of the oldest and still most active research domains in
computer vision. In 35 years, many methodological concepts have been introduced and …

Abstract The labeling of Environmental Microorganisms (EM) which help decomposing
pollutants, plays a fundamental role for establishing sustainable ecosystem. We propose an …

We propose two new GPU-based sensor fusion approaches for time of flight (TOF) and
stereo depth data. Data fidelity measures are defined to deal with the fundamental …

This paper investigates model checking Object-Z classes via their translation to the input
notation of the CSP model checker FDR. Such a translation must not only be concerned with …

Recent advances on convex relaxation methods allow for a flexible formulation of many
interactive multi-label segmentation methods. The building blocks are a likelihood specified …

Objective Multispectral, multichannel, or time series image segmentation is important for
image analysis in a wide range of applications. Regularization of the segmentation is …

This paper addresses the problems of disparity and optical flow partitioning based on the
brightness invariance assumption. We investigate new variational approaches to these …

Matching and partitioning problems are fundamentals of computer vision applications with
examples in multilabel segmentation, stereo estimation and optical-flow computation. These …

Optimization problems are ubiquitous in computer vision, machine learning, economics and
basically any field in the domain of natural and engineering sciences. Developments in …

To obtain high-quality segmentation results the integration of semantic information is
indispensable. In contrast to existing segmentation methods which use a spatial regularizer …