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Imaging technology is an important research area and it is widely utilized in a growing number of disciplines ranging from gaming, robotics and automation to medicine. In the last decade 3D imaging became popular mainly driven by the introduction of novel 3D cameras and measuring devices. These cameras are usually limited to indoor scenes with relatively low distances. Benjamin Langmann introduces medium and long-range 2D/3D cameras to overcome these limitations. He reports measurement results for these devices and studies their characteristic behavior. In order to facilitate the application of these cameras, common algorithms are adapted to the 2D/3D data and new approaches for standard computer vision tasks are introduced.

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Introduction.- Depth Camera Assessment.- PMD Imaging.- Calibration of Depth Cameras.- Multi-Modal Background Subtraction.- Super-Resolution for Depth Maps.- Multiple Camera 2D/3D Tracking.- Conclusion.

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Benjamin Langmann studied computer science and mathematics at the Technical University of Braunschweig, received a doctorate degree from the University of Siegen and leads now the research group "Industrial and Medical Imaging" at the Institute for Measurement and Automatic Control of the Leibniz University Hannover, Germany.

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