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© 2011

Pattern Recognition

33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 – September 2, 2011. Proceedings

  • Rudolf Mester
  • Michael Felsberg
  • State-of-the-art research

  • Fast-track conference proceedings

  • Unique visibility

Conference proceedings DAGM 2011

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6835)

Table of contents

  1. Poster Session 2

    1. Marcel Lüthi, Christoph Jud, Thomas Vetter
      Pages 196-205
    2. Harold Christopher Burger, Stefan Harmeling
      Pages 206-215
  2. Adverse Vision Conditions Challenge

    1. Yan Cui, Alain Pagani, Didier Stricker
      Pages 226-235
    2. Thomas Müller, Clemens Rabe, Jens Rannacher, Uwe Franke, Rudolf Mester
      Pages 236-245
    3. Christian Unger, Eric Wahl, Slobodan Ilic
      Pages 246-255
  3. Shape and Matching

    1. Kevin Köser, Christopher Zach, Marc Pollefeys
      Pages 266-275
    2. Ralf Dragon, Tobias Mörke, Bodo Rosenhahn, Jörn Ostermann
      Pages 276-285
    3. Georgios D. Evangelidis, Christian Bauckhage
      Pages 286-295
  4. Segmentation and Early Vision

    1. Anatol Frick, Markus Franke, Reinhard Koch
      Pages 296-305
    2. Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén, Babette Dellen
      Pages 306-315
    3. Marco Reisert, Henrik Skibbe
      Pages 326-335
  5. Robot Vision

  6. Machine Learning

    1. Markus Thom, Roland Schweiger, Günther Palm
      Pages 356-365
    2. Jan Hendrik Metzen, Su Kyoung Kim, Elsa Andrea Kirchner
      Pages 366-375
    3. Alexander Vezhnevets, Joachim M. Buhmann
      Pages 376-385
  7. Motion

    1. Christoph G. Keller, Christoph Hermes, Dariu M. Gavrila
      Pages 386-395

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on object recognition, adverse vision conditions challenge, shape and matching, segmentation and early vision, robot vision, machine learning, and motion. The volume also includes the young researcher's forum, a section where a carefully jury-selected ensemble of young researchers present their Master thesis work.

Keywords

3D reconstruction computer vision feature detection object detection object tracking scene analysis stereo vision

Editors and affiliations

  • Rudolf Mester
    • 1
  • Michael Felsberg
    • 2
  1. 1.Visual Sensorics and Information Processing LabJohann-Wolfgang Goethe UniversityFrankfurt/MainGermany
  2. 2.Computer Vision LaboratoryLinköping UniversityLinköpingSweden

Bibliographic information