High Resolution Image Correspondences for Video Post-Production

We present an algorithm for estimating dense image correspondences. Our versatile approach lends itself to various tasks typical for video post-processing, including image morphing, optical flow estimation, stereo rectification, disparity/depth reconstruction, and baseline adjustment. We incorporate recent advances in feature matching, energy minimization, stereo vision, and data clustering into our approach. At the core of our correspondence estimation we use Efficient Belief Propagation for energy minimization. While state-of-the-art algorithms only work on thumbnail-sized images, our novel feature downsampling scheme in combination with a simple, yet efficient data term compression, can cope with high-resolution data. The incorporation of SIFT (Scale-Invariant Feature Transform) features into data term computation further resolves matching ambiguities, making long-range correspondence estimation possible. We detect occluded areas by evaluating the correspondence symmetry, we further apply Geodesic matting to automatically determine plausible values in these regions.

Entwicklung eines Ansatzes zur proaktiven Identifikation und Bestandsplanung von langsamdrehenden Materialien

Dem Bestandsmanagement wird in Unternehmen eine stetig steigende Bedeutung beigemessen. Die Möglichkeit, durch ein effizientes Bestandsmanagement Kosten zu reduzieren, ist für viele Unternehmen im Hinblick auf einen langfristigen Unternehmenserfolg wichtig. Im Fokus des Bestandsmanagements stehen oft schnelldrehende Materialien, die sich durch geringe Reichweiten und hohe Lagerumschläge auszeichnen. Das Potenzial eines systematischen Managements von langsamdrehenden Materialien wurde bisher noch nicht untersucht. Dieses Paper greift diese Thematik auf und liefert einen Beitrag zum Bestandsmanagement für langsamdrehende Materialien.

Mathematical methods for the configuration of transportation systems with a focus on continuous and modular matrix conveyors

The lack of flexibility in logistic systems currently on the market leads to the development of new innovative transportation systems. In order to find the optimal configuration of such a system depending on the current goal functions, for example minimization of transport times and maximization of the throughput, various mathematical methods of multi-criteria optimization are applicable. In this work, the concept of a complex transportation system is presented. Furthermore, the question of finding the optimal configuration of such a system through mathematical methods of optimization is considered.