Figure 1: Camera setup optimization sequence for a five sided CAVE with four cameras. The camera positions were constrained to remain on the open top side of the CAVE. Notice the increased point sample density in head height to improve the head-tracking robustness. ABSTRACTWe propose a method to determine the optimal camera alignment for a tracking system with multiple cameras by specifying the volume to be tracked and an initial camera setup. We use optimization strategies based on methods usually employed for solving nonlinear systems of equations. All approaches are fully automatic and take advantage of modern graphics hardware since we also implement a GPU-based, accelerated visibility test. The algorithm automatically optimizes the whole setup by adjusting the given set of camera parameters. We can steer the optimization towards different goals depending on the desired application, e.g. the widest possible volume coverage or maximum camera visibility to overcome heavy occlusion problems during the tracking process. We also consider parameter constraints that the user may specify according to restrictions in the local environment where the cameras have to be mounted. This allows for a convenient definition of higher level constraints for the camera setup.

The development of information technologies, the increasing complexity of theinformation to be handled and analysed along with the increasing capacities inscientific and engineering simulations call for the development of increasinglypowerful visualisation tools and methods. By integrating existing facilities,VISIONAIR is aimed at creating a world-class research infrastructure that willbe open to research communities across Europe and around the world forconducting state-of-the-art research.

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In diesem Artikel wird ein vom IT Center der RWTH Aachen University entwickeltes und in der Praxis bewährtes Reporting-Tool vorgestellt, welches das IT Center in seinem IT-Controlling nachhaltig unterstützt und zur Gewährleistung und Steigerung der Qualität seiner angebotenen Dienste beiträgt. Wir bedienen uns dabei gängigen Methoden aus dem IT Service Management und zeigen auf, wie wir diese für unsere Zwecke anwenden. Neben der technischen Umsetzung gehen wir noch auf das Thema Kennzahlen und kennzahlenbasiertes Reporting aus theoretischer Sicht ein und stellen die damit verbundenen Herausforderungen dar.