Pattern Recognition

1. Front Matter

   Pages I-XVIII

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2. Variational Models for Depth and Flow

   1. Front Matter

      Pages 1-1

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   2. Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm

      • Stefan Heber, Thomas Pock

      Pages 3-14

   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

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   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

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   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

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   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

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   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

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   2. Motion Segmentation with Weak Labeling Priors

      • Hodjat Rahmati, Ralf Dragon, Ole Morten Aamo, Luc van Gool, Lars Adde

      Pages 159-171

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

• 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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