Advertisement

Pattern Recognition

41st DAGM German Conference, DAGM GCPR 2019, Dortmund, Germany, September 10–13, 2019, Proceedings

  • Gernot A. Fink
  • Simone Frintrop
  • Xiaoyi Jiang
Conference proceedings DAGM GCPR 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11824)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11824)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Oral Session I: Image Processing and Analysis

    1. Front Matter
      Pages 1-1
    2. Patrick Knöbelreiter, Thomas Pock
      Pages 3-17
    3. Andreas Kuhn, Shan Lin, Oliver Erdler
      Pages 18-32
    4. Petra Bevandić, Ivan Krešo, Marin Oršić, Siniša Šegvić
      Pages 33-47
    5. Cathrin Elich, Francis Engelmann, Theodora Kontogianni, Bastian Leibe
      Pages 48-61
    6. Dimitri Korsch, Paul Bodesheim, Joachim Denzler
      Pages 62-75
  3. Oral Session II: Imaging Techniques, Image Analysis

    1. Front Matter
      Pages 77-77
    2. Mengkun She, Yifan Song, Jochen Mohrmann, Kevin Köser
      Pages 79-92
    3. Tak Ming Wong, Matthias Kahl, Peter Haring-Bolívar, Andreas Kolb, Michael Möller
      Pages 93-106
    4. Pau Panareda Busto, Juergen Gall
      Pages 107-121
    5. Denys Rozumnyi, Jan Kotera, Filip Šroubek, Jiří Matas
      Pages 122-135
  4. Oral Session III: Learning

    1. Front Matter
      Pages 137-137
    2. Chaithanya Kumar Mummadi, Tim Genewein, Dan Zhang, Thomas Brox, Volker Fischer
      Pages 139-155
    3. Thomas Pinetz, Daniel Soukup, Thomas Pock
      Pages 156-170
    4. Sebastian Mathias Keller, Maxim Samarin, Mario Wieser, Volker Roth
      Pages 171-185
  5. Oral Session IV: Image Analysis, Applications

    1. Front Matter
      Pages 187-187
    2. Josip Šarić, Marin Oršić, Tonći Antunović, Sacha Vražić, Siniša Šegvić
      Pages 189-202
    3. Christian Requena-Mesa, Markus Reichstein, Miguel Mahecha, Basil Kraft, Joachim Denzler
      Pages 203-217
    4. Viktor Wegmayr, Giacomo Giuliari, Joachim M. Buhmann
      Pages 232-244
  6. Posters

    1. Front Matter
      Pages 245-245
    2. Viktor Wegmayr, Maurice Hörold, Joachim M. Buhmann
      Pages 247-260
    3. Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler
      Pages 261-273
    4. Radim Špetlík, Ivan Razumenić
      Pages 274-287
    5. Matthias Ochs, Adrian Kretz, Rudolf Mester
      Pages 288-302
    6. Ricard Durall, Franz-Josef Pfreundt, Ullrich Köthe, Janis Keuper
      Pages 303-316
    7. Jonáš Šerých, Jiří Matas
      Pages 317-330
    8. Tongxin Hu, Wentong Liao, Michael Ying Yang, Bodo Rosenhahn
      Pages 331-344
    9. Anne S. Wannenwetsch, Martin Kiefel, Peter V. Gehler, Stefan Roth
      Pages 345-359
    10. Jan Laermann, Wojciech Samek, Nils Strodthoff
      Pages 360-373
    11. Lars Schmarje, Claudius Zelenka, Ulf Geisen, Claus-C. Glüer, Reinhard Koch
      Pages 374-386
    12. Stefan Milz, Martin Simon, Kai Fischer, Maximillian Pöpperl, Horst-Michael Gross
      Pages 387-400
    13. Monica Haurilet, Ziad Al-Halah, Rainer Stiefelhagen
      Pages 428-441
    14. The-Gia Leo Nguyen, Lynton Ardizzone, Ullrich Köthe
      Pages 442-455
    15. Nikolai Ufer, Kam To Lui, Katja Schwarz, Paul Warkentin, Björn Ommer
      Pages 456-470
    16. Sayan Rakshit, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri
      Pages 485-498
    17. Maha Shadaydeh, Joachim Denzler, Yanira Guanche García, Miguel Mahecha
      Pages 499-512
    18. Soumajit Majumder, Angela Yao
      Pages 522-536
    19. Kilian Pfeiffer, Alexander Hermans, István Sárándi, Mark Weber, Bastian Leibe
      Pages 551-566
    20. Pawel Trajdos, Marek Kurzynski
      Pages 567-580
    21. Xiaojuan Wang, Martin R. Oswald, Ian Cherabier, Marc Pollefeys
      Pages 581-594
    22. Deyao Zhu, Marco Munderloh, Bodo Rosenhahn, Jörg Stückler
      Pages 595-608
    23. David T. Hoffmann, Dimitrios Tzionas, Michael J. Black, Siyu Tang
      Pages 609-623
  7. Back Matter
    Pages 625-626

About these proceedings

Introduction

This book constitutes the proceedings of the 41st DAGM German Conference on Pattern Recognition, DAGM GCPR 2019, held in Dortmund, Germany, in September 2019.

The 43 revised full papers presented were carefully reviewed and selected from 91 submissions. The German Conference on Pattern Recognition is the annual symposium of the German Association for Pattern Recognition (DAGM). It is the national venue for recent advances in image processing, pattern recognition, and computer vision and it follows the long tradition of the DAGM conference series. 

Keywords

computer vision image/video processing machine learning deep learning pattern recognition data mining statistical data analysis and models computational photography biomedical image analysis artificial intelligence semantics neural networks classification estimation image segmentation image reconstruction

Editors and affiliations

  1. 1.TU Dortmund UniversityDortmundGermany
  2. 2.University of HamburgHamburgGermany
  3. 3.University of MünsterMünsterGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33676-9
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-33675-2
  • Online ISBN 978-3-030-33676-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site