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Pattern Recognition

35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013, Proceedings

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Joachim Weickert

    1. Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany

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  2. Matthias Hein

    1. Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany

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  3. Bernt Schiele

    1. Computer Vision and Multimodal Computing, Max-Planck-Institute for Informatics, Saarbrücken, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 8142)

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

Included in the following conference series:

Conference proceedings info: GCPR 2013.

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About this book

This book constitutes the refereed proceedings of the 35th German Conference on Pattern Recognition, GCPR 2013, held in Saarbrücken, Germany, in September 2013. The 22 revised full papers and 18 revised poster papers were carefully reviewed and selected from 79 submissions. The papers covers topics such as image processing and computer vision, machine learning and pattern recognition, mathematical foundations, statistical data analysis and models, computational photography and confluence of vision and graphics, and applications in natural sciences, engineering, biomedical data analysis, imaging, and industry.

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Table of contents (46 papers)

  1. Front Matter

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  2. Stereo and Structure from Motion

    1. Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images

      • Sven Wanner, Bastian Goldluecke
      Pages 1-10

    2. Structure from Motion Using Rigidly Coupled Cameras without Overlapping Views

      • Sandro Esquivel, Reinhard Koch
      Pages 11-20

    3. Highly Accurate Depth Estimation for Objects at Large Distances

      • Peter Pinggera, Uwe Franke, Rudolf Mester
      Pages 21-30

    4. A Low-Rank Constraint for Parallel Stereo Cameras

      • Christian Cordes, Hanno Ackermann, Bodo Rosenhahn
      Pages 31-40

  3. Poster Session

    1. Multi-Resolution Range Data Fusion for Multi-View Stereo Reconstruction

      • Andreas Kuhn, Heiko Hirschmüller, Helmut Mayer
      Pages 41-50

    2. 3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields

      • Hanchen Xiong, Sandor Szedmak, Justus Piater
      Pages 51-60

    3. Discriminative Joint Non-negative Matrix Factorization for Human Action Classification

      • Abdalrahman Eweiwi, Muhammad Shahzad Cheema, Christian Bauckhage
      Pages 61-70

    4. Joint Shape Classification and Labeling of 3-D Objects Using the Energy Minimization Framework

      • Alexander Zouhar, Dmitrij Schlesinger, Siegfried Fuchs
      Pages 71-80

    5. A Coded 3d Calibration Method for Line-Scan Cameras

      • Erik Lilienblum, Ayoub Al-Hamadi, Bernd Michaelis
      Pages 81-90

    6. Confidence-Based Surface Prior for Energy-Minimization Stereo Matching

      • Ke Zhu, Daniel Neilson, Pablo d’Angelo
      Pages 91-100

    7. A Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis

      • Sandro Schönborn, Andreas Forster, Bernhard Egger, Thomas Vetter
      Pages 101-110

    8. Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images

      • Maria Klodt, Jürgen Sturm, Daniel Cremers
      Pages 111-120

    9. Learning How to Combine Internal and External Denoising Methods

      • Harold Christopher Burger, Christian Schuler, Stefan Harmeling
      Pages 121-130

    10. A Comparison of Directional Distances for Hand Pose Estimation

      • Dimitrios Tzionas, Juergen Gall
      Pages 131-141

    11. Approximate Sorting

      • Ludwig Busse, Morteza Haghir Chehreghani, Joachim M. Buhmann
      Pages 142-152

    12. Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields

      • Sergey Kosov, Franz Rottensteiner, Christian Heipke
      Pages 153-163

    13. Synthesizing Real World Stereo Challenges

      • Ralf Haeusler, Daniel Kondermann
      Pages 164-173

    14. Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study

      • Nicolas Schneider, Dariu M. Gavrila
      Pages 174-183

    15. An Improved Model for Estimating the Meteorological Visibility from a Road Surface Luminance Curve

      • Stephan Lenor, Bernd Jähne, Stefan Weber, Ulrich Stopper
      Pages 184-193
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Editors and Affiliations

  • Faculty of Mathematics and Computer Science, Saarland University, Saarbrücken, Germany

    Joachim Weickert, Matthias Hein

  • Computer Vision and Multimodal Computing, Max-Planck-Institute for Informatics, Saarbrücken, Germany

    Bernt Schiele

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