We present an approach for video based human motion capture using a static multi camera setup. The image data of calibrated video cameras is used to generate dense volumentric reconstructions of a person within the capure volume. The 3d reconstructions are then used to fit a 3d cone model into the data utilizing the Iterative Closest Point (ICP) algorithm. We can show that it is beneficial to u...

The Northern Hemisphere temperature response to volcanic and solar forcing in the time interval 1000– 1850 AD is studied using first a set of simulations with an intermediate-complexity climate model, driven by reconstructed forcings. Results are then compared with those obtained from the seven high-resolution reconstructed temperature records for the last millenium that are at present availabl...

Light fields are known for their potential in generating 3D reconstructions of a scene from novel viewpoints without need for a model of the scene. Reconstruction of novel views, however, often leads to ghosting artefacts, which can be relieved by correcting for the depth of objects within the scene using disparity compensation. Unfortunately, reconstructions from this disparity information suf...

Power line corridor inspection is a time consuming task that is performed mostly manually. As the development of UAVs made huge progress in recent years, and photogrammetric computer vision systems became well established, it is time to further automate inspection tasks. In this paper we present an automated processing pipeline to inspect vegetation undercuts of power line corridors. For this, ...

Dealing with real transparent objects for AR is challenging due to their lack of texture and visual features as well as the drastic changes in appearance as the background, illumination and camera pose change. The few existing methods for glass object detection usually require a carefully controlled environment, specialized illumination hardware or ignore information from different viewpoints. ...

In this study we present a computational approach to the generation of the major geometric structures of an idealized murine lymph node (LN). In this generation, we consider the major compartments such as the subcapsular sinus, B cell follicles, trabecular and medullar sinuses, blood vessels and the T cell zone with a primary focus on the fibroblastic reticular cell (FRC) network. Confocal micr...

The aim of this paper is to show a methodology to ease problems due to the richness and heaviness of files of meshes derived from the digital 3D survey of mosaics, in order to store them in databases that can be accessible via Internet. In particular, the paper illustrates a comparative application of mesh simplification algorithms in order to simplify meshes derived from laser scanners without...

Non-central catadioptric sensors became a mandatory effective tool in a broad range of applications and hence robust modeling and calibration for such sensors are required. One simple and efficient method is to model the catadioptric sensor by its catacaustics. Calibrating the sensor is equivalent to computing its catacaustics which fully geometrically describe the sensor. In this work, we cali...

In this work we first review the (phased) inverse scattering problem and then pursue the phaseless reconstruction from far-field data with the help of the concept of scattering coefficients. We perform sensitivity, resolution, and stability analysis of both phased and phaseless problems and compare the degree of ill-posedness of the phased and phaseless reconstructions. The phaseless reconstruc...