Pattern Recognition

31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings

  • Joachim Denzler
  • Gunther Notni
  • Herbert Süße
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5748)

Table of contents

  1. Front Matter
  2. Motion and Tracking

    1. Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert
      Pages 21-30
    2. Christian Walder, Martin Breidt, Heinrich Bülthoff, Bernhard Schölkopf, Cristóbal Curio
      Pages 41-50
  3. Pedestrian Recognition and Automotive Applications

    1. Hernán Badino, Uwe Franke, David Pfeiffer
      Pages 51-60
    2. Michael Hofmann, Dariu M. Gavrila
      Pages 71-80
    3. Christoph Gustav Keller, David Fernández Llorca, Dariu M. Gavrila
      Pages 81-90
    4. Martin Rapus, Stefan Munder, Gregory Baratoff, Joachim Denzler
      Pages 91-100
    5. Marcus Rohrbach, Markus Enzweiler, Dariu M. Gavrila
      Pages 101-110
  4. Features

    1. Christian Bähnisch, Peer Stelldinger, Ullrich Köthe
      Pages 111-120
    2. Thomas Hörnlein, Bernd Jähne
      Pages 121-130
    3. Marco Reisert, Hans Burkhardt
      Pages 131-140
    4. Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Hans Burkhardt
      Pages 141-150
    5. Christoph Strecha, Albrecht Lindner, Karim Ali, Pascal Fua
      Pages 151-160
    6. Michael Trummer, Christoph Munkelt, Joachim Denzler
      Pages 161-170
  5. Single-View and 3D Reconstruction

    1. Martin R. Oswald, Eno Töppe, Kalin Kolev, Daniel Cremers
      Pages 171-180
    2. Krishnamurthy Ramnath, Ambasamudram N. Rajagopalan
      Pages 181-190

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 31st Symposium of the German Association for Pattern Recognition, DAGM 2009, held in Jena, Germany, in September 2009.

The 56 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on motion and tracking; pedestrian recognition and automotive applications; features; single-view and 3D reconstruction; learning and classification; pattern recognition and estimation; stereo and multi-view reconstruction; image analysis and applications; and segmentation.

Keywords

3d reconstruction 3d video algorithms classification depth camera face reconstruction face tracking image analysis image segmentation motion estimation optical flow pattern recognition scene classification stereo vision tof camera

Editors and affiliations

  • Joachim Denzler
    • 1
  • Gunther Notni
    • 2
  • Herbert Süße
    • 1
  1. 1.Digitale BildverarbeitungUniversität JenaJenaGermany
  2. 2.Fraunhofer-Institut für Angewandte Optik und FeinmechanikJenaGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-03798-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-03797-9
  • Online ISBN 978-3-642-03798-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book