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Pattern Recognition

36th German Conference, GCPR 2014, Münster, Germany, September 2-5, 2014, Proceedings

  • Xiaoyi Jiang
  • Joachim Hornegger
  • Reinhard Koch

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8753)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8753)

Table of contents

  1. Front Matter
    Pages I-XVIII
  2. Variational Models for Depth and Flow

    1. Front Matter
      Pages 1-1
    2. Nico Persch, Christopher Schroers, Simon Setzer, Joachim Weickert
      Pages 15-27
  3. Reconstruction

    1. Front Matter
      Pages 29-29
    2. Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nešić, Xi Wang et al.
      Pages 31-42
    3. Amnon Drory, Carsten Haubold, Shai Avidan, Fred A. Hamprecht
      Pages 43-53
    4. Robert Maier, Jürgen Sturm, Daniel Cremers
      Pages 54-65
  4. Bio-informatics

    1. Front Matter
      Pages 67-67
    2. Mahesh Venkata Krishna, Joachim Denzler
      Pages 69-80
    3. David Adametz, Mélanie Rey, Volker Roth
      Pages 81-91
  5. Deep Learning and Segmentation

    1. Front Matter
      Pages 93-93
    2. Dmitry Laptev, Joachim M. Buhmann
      Pages 95-106
    3. René Ranftl, Thomas Pock
      Pages 107-118
  6. Feature Computation

    1. Front Matter
      Pages 119-119
    2. Anastasia Podosinnikova, Simon Setzer, Matthias Hein
      Pages 121-131
    3. Matthew B. Blaschko, Arpit Mittal, Esa Rahtu
      Pages 132-143
    4. Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler
      Pages 144-156
  7. Video Interpretation

    1. Front Matter
      Pages 157-157
    2. Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Luc van Gool, Lars Adde
      Pages 159-171
    3. Marius Cordts, Lukas Schneider, Markus Enzweiler, Uwe Franke, Stefan Roth
      Pages 172-183
    4. Anna Rohrbach, Marcus Rohrbach, Wei Qiu, Annemarie Friedrich, Manfred Pinkal, Bernt Schiele
      Pages 184-195
  8. Segmentation and Labeling

    1. Front Matter
      Pages 197-197
    2. Thorben Kroeger, Jörg H. Kappes, Thorsten Beier, Ullrich Koethe, Fred A. Hamprecht
      Pages 199-211
    3. Javier A. Montoya-Zegarra, Jan D. Wegner, Ľubor Ladický, Konrad Schindler
      Pages 212-223
  9. Image Processing and Analysis

    1. Front Matter
      Pages 225-225
    2. Florin C. Ghesu, Thomas Köhler, Sven Haase, Joachim Hornegger
      Pages 227-238
    3. Philipp Fischer, Thomas Brox
      Pages 239-249
  10. Human Pose and People Tracking

    1. Front Matter
      Pages 251-251
    2. Sikandar Amin, Philipp Müller, Andreas Bulling, Mykhaylo Andriluka
      Pages 253-264
    3. Roberto Henschel, Laura Leal-Taixé, Bodo Rosenhahn
      Pages 265-276
    4. Dimitrios Tzionas, Abhilash Srikantha, Pablo Aponte, Juergen Gall
      Pages 277-289
  11. Interpolation and Inpainting

    1. Front Matter
      Pages 291-291
    2. Michael Strobel, Julia Diebold, Daniel Cremers
      Pages 293-304
    3. Tobias Gurdan, Martin R. Oswald, Daniel Gurdan, Daniel Cremers
      Pages 305-316
    4. Bernhard Egger, Sandro Schönborn, Andreas Forster, Thomas Vetter
      Pages 317-327
  12. Posters

    1. Front Matter
      Pages 329-329
    2. Martin Kiefel, Christian Schuler, Philipp Hennig
      Pages 331-341
    3. Stephan Lenor, Johannes Martini, Bernd Jähne, Ulrich Stopper, Stefan Weber, Florian Ohr
      Pages 365-376
    4. Stephen Kockentiedt, Klaus Tönnies, Erhardt Gierke
      Pages 377-387
    5. Dominic Siedhoff, Hendrik Fichtenberger, Pascal Libuschewski, Frank Weichert, Christian Sohler, Heinrich Müller
      Pages 388-398
    6. Oliver Fleischmann, Reinhard Koch
      Pages 410-420
    7. Henrik Skibbe, Marco Reisert, Shin Ishii
      Pages 421-431
    8. Hima Patel, Karthik Gurumoorthy, Seshadri Thiruvenkadam
      Pages 432-442
    9. Hafeez Anwar, Sebastian Zambanini, Martin Kampel
      Pages 443-452
    10. Dominic Mai, Jasmin Dürr, Klaus Palme, Olaf Ronneberger
      Pages 453-463
    11. Benjamin S. Riggan, Wesley E. Snyder, Xiaogang Wang, Jing Feng
      Pages 464-475

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 36th German Conference on Pattern Recognition, GCPR 2014, held in Münster, Germany, in September 2014. The 58 revised full papers and 8 short papers were carefully reviewed and selected from 153 submissions. The papers are organized in topical sections on variational models for depth and flow, reconstruction, bio-informatics, deep learning and segmentation, feature computation, video interpretation, segmentation and labeling, image processing and analysis, human pose and people tracking, interpolation and inpainting.

Keywords

3d imaging activity recognition and understanding appearance and texture representations camera calibration clustering and classification computational photography computer vision image segmentation medical images meteorological visibility motion capture object recognition scene understanding shape representations supervised learning unsupervised learning video summarization visual content-based indexing and retrieval

Editors and affiliations

  • Xiaoyi Jiang
    • 1
  • Joachim Hornegger
    • 2
  • Reinhard Koch
    • 3
  1. 1.Department of Mathematics and Computer ScienceUniversity of MünsterMünsterGermany
  2. 2.Computer Science Department 5University of Erlangen-NürnbergErlangenGermany
  3. 3.Department of Computer ScienceUniversity of KielKielGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-11752-2
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-11751-5
  • Online ISBN 978-3-319-11752-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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