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Dynamic 3D Imaging

DAGM 2009 Workshop, Dyn3D 2009, Jena, Germany, September 9, 2009. Proceedings

  • Andreas Kolb
  • Reinhard Koch
Conference proceedings Dyn3D 2009

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5742)

Table of contents

  1. Front Matter
  2. Fundamentals of ToF-Sensors

  3. Algorithms and Data Fusion

    1. Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolfgang Straßer
      Pages 84-95
    2. Claus B. Madsen, Thomas B. Moeslund, Amit Pal, Shankkar Balasubramanian
      Pages 110-125
  4. Applications of Dynamic 3D Scene Analysis

    1. Reinhard Koch, Ingo Schiller, Bogumil Bartczak, Falko Kellner, Kevin Köser
      Pages 126-141
    2. Martin Haker, Martin Böhme, Thomas Martinetz, Erhardt Barth
      Pages 142-153
    3. Rasmus R. Jensen, Rasmus R. Paulsen, Rasmus Larsen
      Pages 154-166
    4. Martin Böhme, Martin Haker, Kolja Riemer, Thomas Martinetz, Erhardt Barth
      Pages 167-176
  5. Back Matter

About these proceedings

Introduction

3D imaging sensors have been investigated for several decades. Recently, - provements on classical approaches such as stereo vision and structured light on the one hand, and novel time-of-?ight (ToF) techniques on the other hand have emerged, leading to 3D vision systems with radically improvedcharacter- tics. Presently, these techniques make full-range 3D data available at interactive frame rates, and thus open the path toward a much broader application of 3D vision systems. The workshop on Dynamic 3D Vision (Dyn3D) was held in conjunction with the annual conference of the German Association of Pattern Recognition (DAGM) in Jena on September 9, 2009. Previous workshops in this series have focused on the same topic, i.e., the Dynamic 3D Vision workshopin conjunction with the DAGM conference in 2007 and the CVPR workshop Time of Flight Camera-Based Computer Vision (TOF-CV) in 2008. The goal of this year’s workshop, as for the prior events, was to constitute a platform for researchers working in the ?eld of real-time range imaging, where all aspects, from sensor evaluation to application scenarios, are addressed. After a very competitive and high-quality reviewing process, 13 papers were accepted for publication in this LNCS issue. The research area on dynamic 3D vision proved to be extremely lively. Again, as for prior workshops on this ?eld, numerous new insights and novel approaches on time-of-?ight sensors, on re- time mono- and multidimensional data processing and on various applications are presented in these workshop proceedings.

Keywords

3d imaging Time-of-Flight ToF camera algorithms depht camera face detection mixed reality motion prediction object recognition real-time segmentation real-time tracking stereo camera time-of-flight camera

Editors and affiliations

  • Andreas Kolb
    • 1
  • Reinhard Koch
    • 2
  1. 1.Computer Graphics GroupUniversity of SiegenSiegenGermany
  2. 2.Computer Science DepartmentKiel UniversityGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03778-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03777-1
  • Online ISBN 978-3-642-03778-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site