© 2014

Pattern Recognition

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

  • Xiaoyi Jiang
  • Joachim Hornegger
  • Reinhard Koch
Conference proceedings GCPR 2014

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

About these proceedings


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.


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