Pattern Recognition

27th DAGM Symposium, Vienna, Austria, August 31 - September 2, 2005. Proceedings

  • Walter G. Kropatsch
  • Robert Sablatnig
  • Allan Hanbury
Conference proceedings DAGM 2005

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3663)

Table of contents

  1. Front Matter
  2. Color Analysis

    1. Volker Willert, Julian Eggert, Sebastian Clever, Edgar Körner
      Pages 9-16
    2. Christian Münzenmayer, Sylvia Wilharm, Joachim Hornegger, Thomas Wittenberg
      Pages 17-24
    3. Ahmed Nabil Belbachir, Peter Michael Goebel
      Pages 25-32
  3. Stereo Vision

    1. Birger Streckel, Reinhard Koch
      Pages 41-48
    2. W. Stürzl, M. V. Srinivasan
      Pages 49-57
    3. Heiko Hirschmüller, Frank Scholten, Gerd Hirzinger
      Pages 58-66
    4. Jochen Schmidt, Florian Vogt, Heinrich Niemann
      Pages 67-74
  4. Invited Paper

    1. Vojtěch Franc, Václav Hlaváč
      Pages 75-84
  5. Segmentation and Grouping

    1. Olaf Ronneberger, Janis Fehr, Hans Burkhardt
      Pages 85-92
    2. Mario Sormann, Christopher Zach, Joachim Bauer, Konrad Karner, Horst Bischof
      Pages 93-100
    3. Thomas Brox, Bodo Rosenhahn, Joachim Weickert
      Pages 109-116
    4. Simone Frintrop, Gerriet Backer, Erich Rome
      Pages 117-124
  6. Automatic Speech Understanding

    1. Jürgen Haas, Florian Gallwitz, Axel Horndasch, Richard Huber, Volker Warnke
      Pages 125-132
    2. Andreas Maier, Christian Hacker, Stefan Steidl, Elmar Nöth, Heinrich Niemann
      Pages 133-140
    3. Christian Hacker, Tobias Cincarek, Rainer Gruhn, Stefan Steidl, Elmar Nöth, Heinrich Niemann
      Pages 141-148
    4. Jozef Ivanecky, Julia Fischer, Marion Mast, Siegfried Kunzmann, Thomas Ross, Volker Fischer
      Pages 149-159

About these proceedings

Introduction

It is both an honor and a pleasure to hold the 27th Annual Meeting of the German Association for Pattern Recognition, DAGM 2005, at the Vienna U- versity of Technology, Austria, organized by the Pattern Recognition and Image Processing (PRIP) Group. We received 122 contributions of which we were able to accept 29 as oral presentations and 31 as posters. Each paper received three reviews, upon which decisions were made based on correctness, presentation, technical depth, scienti?c signi?cance and originality. The selection as oral or poster presentation does not signify a quality grading but re?ects attractiveness to the audience which is also re?ected in the order of appearance of papers in these proceedings. The papers are printed in the same order as presented at the symposium and posters are integrated in the corresponding thematic session. In putting these proceedings together, many people played signi?cant roles which we would like to acknowledge. First of all our thanks go to the authors who contributed their work to the symposium. Second, we are grateful for the dedicated work of the 38 members of the Program Committee for their e?ort in evaluating the submitted papers and inprovidingthe necessarydecisionsupport information and the valuable feedback for the authors. Furthermore, the P- gram Committee awarded prizes for the best papers, and we want to sincerely thank the donors. We were honored to have the following three invited speakers at the conf- ence: – Jan P.

Keywords

3D Automat Stereo learning modeling pattern recognition stereo vision uncertainty

Editors and affiliations

  • Walter G. Kropatsch
    • 1
  • Robert Sablatnig
    • 2
  • Allan Hanbury
    • 3
  1. 1.PRIPVienna University of TechnologyAustria
  2. 2.Vienna University of TechnologyViennaAustria
  3. 3.Pattern Recognition and Image Processing Group, Institute of Computer-Aided AutomationVienna University of TechnologyViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/11550518
  • Copyright Information Springer-Verlag Berlin Heidelberg 2005
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-28703-2
  • Online ISBN 978-3-540-31942-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book