Pattern Recognition

32nd DAGM Symposium, Darmstadt, Germany, September 22-24, 2010. Proceedings

  • Michael Goesele
  • Stefan Roth
  • Arjan Kuijper
  • Bernt Schiele
  • Konrad Schindler

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6376)

Table of contents

  1. Front Matter
  2. Geometry and Calibration

    1. David Gallup, Marc Pollefeys, Jan-Michael Frahm
      Pages 1-10
    2. Jan Stühmer, Stefan Gumhold, Daniel Cremers
      Pages 11-20
    3. Cristina Picus, Branislav Micusik, Roman Pflugfelder
      Pages 21-30
    4. Marcel Brückner, Joachim Denzler
      Pages 31-40
  3. Poster Session I

    1. Jonathan Balzer, Sebastian Höfer, Stefan Werling, Jürgen Beyerer
      Pages 41-50
    2. Andreas Wendel, Michael Donoser, Horst Bischof
      Pages 51-60
    3. Michael Kemmler, Joachim Denzler, Petra Rösch, Jürgen Popp
      Pages 81-90
    4. Stefan Wirtz, Marcel Häselich, Dietrich Paulus
      Pages 101-110
    5. David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester
      Pages 111-120
    6. Anke Stieber, Jan Schneider, Bertram Nickolay, Jörg Krüger
      Pages 121-130
    7. Lennart Wietzke, Oliver Fleischmann, Anne Sedlazeck, Gerald Sommer
      Pages 131-140
    8. Claudia Nieuwenhuis, Daniel Kondermann, Christoph S. Garbe
      Pages 141-150
    9. Angela Yao, Dominique Uebersax, Juergen Gall, Luc Van Gool
      Pages 151-161
    10. Pınar Muyan-Özçelik, Vladimir Glavtchev, Jeffrey M. Ota, John D. Owens
      Pages 162-171
    11. Arnav V. Bhavsar, Ambasamudram N. Rajagopalan
      Pages 172-181
    12. Gerlind Herberich, Anca Ivanescu, Ivonne Gamper, Antonio Sechi, Til Aach
      Pages 182-191

About these proceedings

Introduction

On behalf of the organizing committee, we would like to welcome you to Da- nd stadt and DAGM 2010,the 32 Annual Symposium of the German Association for Pattern Recognition. The technical program covered all aspects of pattern recognition and, to name only a few areas, ranged from 3D reconstruction, to object recognition and medical applications. The result is re?ected in these proceedings, which contain the papers presented at DAGM 2010. Our call for papers resulted in 134 submissions from institutions in 21 countries. Each paper underwent a rigorous reviewing process and was assigned to at least three program committee m- bers for review. The reviewing phase was followed by a discussion phase among the respective program committee members in order to suggest papers for - ceptance. The ?nal decision was taken during a program committee meeting held in Darmstadt based on all reviews, the discussion results and, if necessary, additional reviewing. Based on this rigorous process we selected a total of 57 papers, corresponding to an acceptance rate of below 45%. Out of all accepted papers, 24 were chosen for oral and 33 for poster presentation. All accepted - pers have been published in these proceedings and given the same number of pages. We would like to thank all members of the program committee as well as the external reviewers for their valuable and highly appreciated contribution to the community.

Keywords

3D reconstruction 3D video Diffusion algorithms belief propagation camera calibration classification depth camera feature extraction filtering image reconstruction object recognition pattern recognition performance evaluation structured light

Editors and affiliations

  • Michael Goesele
    • 1
  • Stefan Roth
    • 1
  • Arjan Kuijper
    • 2
  • Bernt Schiele
    • 3
  • Konrad Schindler
    • 4
  1. 1.GRISTU DarmstadtDarmstadtGermany
  2. 2.Fraunhofer Institute for Computer Graphics Research (IGD)DarmstadtGermany
  3. 3.Dept. of Computer ScienceTU DarmstadtDarmstadtGermany
  4. 4.TU DarmstadtDarmstadtGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-15986-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-15985-5
  • Online ISBN 978-3-642-15986-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book