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  • Conference proceedings
  • © 2014

Pattern Recognition

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

Editors:

  1. Xiaoyi Jiang

    1. Department of Mathematics and Computer Science, University of Münster, Münster, Germany

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  2. Joachim Hornegger

    1. Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany

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    You can also search for this editor in PubMed   Google Scholar

  3. Reinhard Koch

    1. Department of Computer Science, University of Kiel, Kiel, Germany

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): DAGM GCPR: DAGM German Conference on Pattern Recognition

Conference proceedings info: GCPR 2014.

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Table of contents (66 papers)

  1. Front Matter

    Pages I-XVIII
    PDF

  2. Variational Models for Depth and Flow

    1. Front Matter

      Pages 1-1
      PDF

    3. Introducing More Physics into Variational Depth–from–Defocus

      • Nico Persch, Christopher Schroers, Simon Setzer, Joachim Weickert
      Pages 15-27

  3. Reconstruction

    1. Front Matter

      Pages 29-29
      PDF

    2. High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth

      • Daniel Scharstein, Heiko Hirschmüller, York Kitajima, Greg Krathwohl, Nera Nešić, Xi Wang et al.
      Pages 31-42

    3. Semi-Global Matching: A Principled Derivation in Terms of Message Passing

      • Amnon Drory, Carsten Haubold, Shai Avidan, Fred A. Hamprecht
      Pages 43-53

    4. Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data

      • Robert Maier, Jürgen Sturm, Daniel Cremers
      Pages 54-65

  4. Bio-informatics

    1. Front Matter

      Pages 67-67
      PDF

    2. A Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering

      • Mahesh Venkata Krishna, Joachim Denzler
      Pages 69-80

    3. Information Bottleneck for Pathway-Centric Gene Expression Analysis

      • David Adametz, Mélanie Rey, Volker Roth
      Pages 81-91

  5. Deep Learning and Segmentation

    1. Front Matter

      Pages 93-93
      PDF

    2. Convolutional Decision Trees for Feature Learning and Segmentation

      • Dmitry Laptev, Joachim M. Buhmann
      Pages 95-106

    3. A Deep Variational Model for Image Segmentation

      • René Ranftl, Thomas Pock
      Pages 107-118

  6. Feature Computation

    1. Front Matter

      Pages 119-119
      PDF

    2. Robust PCA: Optimization of the Robust Reconstruction Error Over the Stiefel Manifold

      • Anastasia Podosinnikova, Simon Setzer, Matthias Hein
      Pages 121-131

    3. An \(\mathcal {O}(n \log n)\) Cutting Plane Algorithm for Structured Output Ranking

      • Matthew B. Blaschko, Arpit Mittal, Esa Rahtu
      Pages 132-143

    4. Exemplar-Specific Patch Features for Fine-Grained Recognition

      • Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler
      Pages 144-156

  7. Video Interpretation

    1. Front Matter

      Pages 157-157
      PDF

    2. Motion Segmentation with Weak Labeling Priors

      • Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Luc van Gool, Lars Adde
      Pages 159-171
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Other Volumes

  1. Pattern Recognition

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About this book

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.
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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
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Editors and Affiliations

  • Department of Mathematics and Computer Science, University of Münster, Münster, Germany

    Xiaoyi Jiang

  • Computer Science Department 5, University of Erlangen-Nürnberg, Erlangen, Germany

    Joachim Hornegger

  • Department of Computer Science, University of Kiel, Kiel, Germany

    Reinhard Koch

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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