© 2013

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

Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities

  • Marcin Grzegorzek
  • Christian Theobalt
  • Reinhard Koch
  • Andreas Kolb

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8200)

Table of contents

  1. Front Matter
  2. Foundations of Depth Imaging

    1. Front Matter
      Pages 1-1
    2. Damien Lefloch, Rahul Nair, Frank Lenzen, Henrik Schäfer, Lee Streeter, Michael J. Cree et al.
      Pages 3-24
    3. Frank Lenzen, Kwang In Kim, Henrik Schäfer, Rahul Nair, Stephan Meister, Florian Becker et al.
      Pages 25-45
    4. Julien Thollot, Xavier Baele, Ilse Ravyse
      Pages 46-51
    5. Rahul Nair, Stephan Meister, Martin Lambers, Michael Balda, Hannes Hofmann, Andreas Kolb et al.
      Pages 52-74
  3. Depth Data Processing and Fusion

    1. Front Matter
      Pages 75-75
    2. Rahul Nair, Kai Ruhl, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe et al.
      Pages 105-127
  4. Human-Centered Depth Imaging

    1. Front Matter
      Pages 147-147
    2. Mao Ye, Qing Zhang, Liang Wang, Jiejie Zhu, Ruigang Yang, Juergen Gall
      Pages 149-187
    3. Thomas Helten, Andreas Baak, Meinard Müller, Christian Theobalt
      Pages 188-206
    4. Foti Coleca, Thomas Martinetz, Erhardt Barth
      Pages 207-227
    5. Sebastian Bauer, Alexander Seitel, Hannes Hofmann, Tobias Blum, Jakob Wasza, Michael Balda et al.
      Pages 228-254
  5. Proceedings of the Workshop on Imaging New Modalities

    1. Front Matter
      Pages 255-255
    2. Kai Berger, Stephan Meister, Rahul Nair, Daniel Kondermann
      Pages 257-272
    3. Thomas Hoegg, Damien Lefloch, Andreas Kolb
      Pages 273-288
    4. Benjamin Langmann, Klaus Hartmann, Otmar Loffeld
      Pages 289-301
    5. Ole Johannsen, Christian Heinze, Bastian Goldluecke, Christian Perwaß
      Pages 302-317

About this book


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.


ToF cameras depth data noise models scene recognition sensor calibration

Editors and affiliations

  • Marcin Grzegorzek
    • 1
  • Christian Theobalt
    • 2
  • Reinhard Koch
    • 3
  • Andreas Kolb
    • 4
  1. 1.Pattern Recognition GroupUniversity of SiegenSiegenGermany
  2. 2.Max-lanck-Institute, Graphics, Vision & Video GruopSaarbrückenGermany
  3. 3.Multimedia Information Processing GroupUniversity of KielKielGermany
  4. 4.Computer Graphics and Multimedia Systems GroupUniversity of SiegenSiegenGermany

Bibliographic information

  • Book Title Time-of-Flight and Depth Imaging. Sensors, Algorithms, and Applications
  • Book Subtitle Dagstuhl 2012 Seminar on Time-of-Flight Imaging and GCPR 2013 Workshop on Imaging New Modalities
  • Editors Marcin Grzegorzek
    Christian Theobalt
    Reinhard Koch
    Andreas Kolb
  • Series Title Lecture Notes in Computer Science
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-642-44963-5
  • eBook ISBN 978-3-642-44964-2
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages X, 319
  • Number of Illustrations 137 b/w illustrations, 0 illustrations in colour
  • Topics Image Processing and Computer Vision
    Pattern Recognition
    Artificial Intelligence
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