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

Dagstuhl Seminar 2012 and GCPR Workshop on Imaging New Modalities

  • Book
  • © 2013

Overview

Editors:
  1. Marcin Grzegorzek

    1. Pattern Recognition Group, University of Siegen, Siegen, Germany

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  2. Christian Theobalt

    1. Max-lanck-Institute, Graphics, Vision & Video Gruop, Saarbrücken, Germany

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  3. Reinhard Koch

    1. Multimedia Information Processing Group, University of Kiel, Kiel, Germany

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  4. Andreas Kolb

    1. Computer Graphics and Multimedia Systems Group, University of Siegen, Siegen, Germany

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  • State-of-the-art research on time-of-flight (ToF) depth imaging contributions
  • Prominent selection of leading researchers in the field of ToF includes several survey chapters
  • Deals with the following areas: ToF stereo fusion; human motion analysis; real-time range imaging; applications of the Kinect sensor

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

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Table of contents (15 chapters)

  1. Front Matter

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  2. Foundations of Depth Imaging

    1. Front Matter

      Pages 1-1
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    2. Technical Foundation and Calibration Methods for Time-of-Flight Cameras

      • Damien Lefloch, Rahul Nair, Frank Lenzen, Henrik Schäfer, Lee Streeter, Michael J. Cree et al.
      Pages 3-24

    3. Denoising Strategies for Time-of-Flight Data

      • Frank Lenzen, Kwang In Kim, Henrik Schäfer, Rahul Nair, Stephan Meister, Florian Becker et al.
      Pages 25-45

    4. Stabilization of 3D Position Measurement

      • Julien Thollot, Xavier Baele, Ilse Ravyse
      Pages 46-51

    5. Ground Truth for Evaluating Time of Flight Imaging

      • 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
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    2. Mirrors in Computer Graphics, Computer Vision and Time-of-Flight Imaging

      • Ilya Reshetouski, Ivo Ihrke
      Pages 77-104

    3. A Survey on Time-of-Flight Stereo Fusion

      • Rahul Nair, Kai Ruhl, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe et al.
      Pages 105-127

    4. Reconstruction of Deformation from Depth and Color Video with Explicit Noise Models

      • Andreas Jordt, Reinhard Koch
      Pages 128-146

  4. Human-Centered Depth Imaging

    1. Front Matter

      Pages 147-147
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    2. A Survey on Human Motion Analysis from Depth Data

      • Mao Ye, Qing Zhang, Liang Wang, Jiejie Zhu, Ruigang Yang, Juergen Gall
      Pages 149-187

    3. Full-Body Human Motion Capture from Monocular Depth Images

      • Thomas Helten, Andreas Baak, Meinard Müller, Christian Theobalt
      Pages 188-206

    4. Gesture Interfaces with Depth Sensors

      • Foti Coleca, Thomas Martinetz, Erhardt Barth
      Pages 207-227

    5. Real-Time Range Imaging in Health Care: A Survey

      • 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
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    2. A State of the Art Report on Kinect Sensor Setups in Computer Vision

      • Kai Berger, Stephan Meister, Rahul Nair, Daniel Kondermann
      Pages 257-272

    3. Real-Time Motion Artifact Compensation for PMD-ToF Images

      • Thomas Hoegg, Damien Lefloch, Andreas Kolb
      Pages 273-288

    4. Real-Time Image Stabilization for ToF Cameras on Mobile Platforms

      • Benjamin Langmann, Klaus Hartmann, Otmar Loffeld
      Pages 289-301

    5. On the Calibration of Focused Plenoptic Cameras

      • Ole Johannsen, Christian Heinze, Bastian Goldluecke, Christian Perwaß
      Pages 302-317
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Keywords

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.

Editors and Affiliations

  • Pattern Recognition Group, University of Siegen, Siegen, Germany

    Marcin Grzegorzek

  • Max-lanck-Institute, Graphics, Vision & Video Gruop, Saarbrücken, Germany

    Christian Theobalt

  • Multimedia Information Processing Group, University of Kiel, Kiel, Germany

    Reinhard Koch

  • Computer Graphics and Multimedia Systems Group, University of Siegen, Siegen, Germany

    Andreas Kolb

Bibliographic Information

  • Book Title: Time-of-Flight and Depth Imaging. Sensors, Algorithms and Applications

  • Book Subtitle: Dagstuhl Seminar 2012 and GCPR Workshop on Imaging New Modalities

  • Editors: Marcin Grzegorzek, Christian Theobalt, Reinhard Koch, Andreas Kolb

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-642-44964-2

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2013

  • Softcover ISBN: 978-3-642-44963-5Published: 13 November 2013

  • eBook ISBN: 978-3-642-44964-2Published: 09 November 2013

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 319

  • Number of Illustrations: 137 b/w illustrations

  • Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence

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