Reinhard Koch

Christian Theobalt

Marcin Grzegorzek

Andreas Kolb

Cameras for 3D depth imaging, using either time-of-flight (ToF) or structured light sensors, have received a lot of attention recently and have been improved considerably over the last few years. The present techniques make full-range 3D data available at video frame rates, and thus pave the way for a much broader application of 3D vision systems. A series of workshops have closely followed the developments within ToF imaging over the years. Today, depth imaging workshops can be found at every major computer vision conference. The papers presented in this volume stem from a seminar on Time-of-Flight Imaging held at Schloss Dagstuhl in October 2012. They cover all aspects of ToF depth imaging, from sensors and basic foundations, to algorithms for low level processing, to important applications that exploit depth imaging. In addition, this book contains the proceedings of a workshop on Imaging New Modalities, which was held at the German Conference on Pattern Recognition in Saarbrücken, Germany, in September 2013. A state-of-the-art report on the Kinect sensor and its applications is followed by two reports on local and global ToF motion compensation and a novel depth capture system using a plenoptic multi-lens multi-focus camera sensor.

Dagstuhl Seminar 2012 and GCPR Workshop on Imaging New Modalities

Time-of-Flight and Depth Imaging. Sensors, Algorithms and Applications

The rapid development in the area of sensor technology has been responsible for a number of societal phenomena like UGC (User Generated Content) or QS (Quantified Self). Machine learning algorithms benefit a lot from the availability of such huge volumes of digital data. For example, new technical solutions for challenges caused by the demographic change (ageing society) can be proposed in this way, especially in the context of healthcare systems in industrialised countries. The goal of this book is to present selected algorithms for Visual Scene Analysis (VSA, processing UGC) as well as for Human Data Interpretation (HDI, using data produced within the QS movement) and to expose a joint methodological basis between these two scientific directions. While VSA approaches have reached impressive robustness towards human-like interpretation of visual sensor data, HDI methods are still of limited semantic abstraction power. Using selected state-of-the-art examples, this book shows the maturity of approaches towards closing the semantic gap in both areas, VSA and HDI.

Sensor Data Understanding

Thierry Declerck

Michael Granitzer

Massimo Romanelli

Stefan Rüger

Michael Sintek

This book constitutes the revised selected papers of the 5th International Conference on Semantics and Digital Media Technologies, SAMT 2010, held in Saarbrücken, Germany, in December 2010. As a result of a highly selective review procedure, 12 full papers and 4 short papers were accepted for publication. The contributions present novel approaches for managing, distributing and accessing large amounts of multimedia material. The topics covered include semantic search, analysis and retrieval of images, audio, video, 3D/4D material as well as of computer generated multimedia content. Also addressed are issues relating to semantic metadata management, semantic user interfaces, and semantics in visualization and computer graphics.

5th International Conference on Semantic and Digital Media Technologies, SAMT 2010, Saarbrücken, Germany, December 1-3, 2010, Revised Selected Papers

Semantic Multimedia

Marcin Grzegorzek

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