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Pattern Recognition

33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011, Proceedings

  • Conference proceedings
  • © 2011

Overview

Editors:
  1. Rudolf Mester

    1. Visual Sensorics and Information Processing Lab, Johann-Wolfgang Goethe University, Frankfurt/Main, Germany

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  2. Michael Felsberg

    1. Computer Vision Laboratory, Linköping University, Linköping, Sweden

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    You can also search for this editor in PubMed   Google Scholar

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6835)

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

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Conference proceedings info: DAGM 2011.

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About this book

This book constitutes the refereed proceedings of the 33rd Symposium of the German Association for Pattern Recognition, DAGM 2011, held in Frankfurt/Main, Germany, in August/September 2011. The 20 revised full papers and 22 revised poster papers were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on object recognition, adverse vision conditions challenge, shape and matching, segmentation and early vision, robot vision, machine learning, and motion. The volume also includes the young researcher's forum, a section where a carefully jury-selected ensemble of young researchers present their Master thesis work.

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Table of contents (50 papers)

  1. Front Matter

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  2. Poster Session 1

    1. A Bayesian Approach for Scene Interpretation with Integrated Hierarchical Structure

      • Martin Drauschke, Wolfgang Förstner
      Pages 1-10

    2. Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion

      • Daniel Haase, John A. Nyakatura, Joachim Denzler
      Pages 11-20

    3. A Fully Implicit Framework for Sobolev Active Contours and Surfaces

      • Maximilian Baust, Nassir Navab
      Pages 21-30

    4. Implicit Scene Context for Object Segmentation and Classification

      • Jan D. Wegner, Bodo Rosenhahn, Uwe Soergel
      Pages 31-40

    5. An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation

      • Kai Krajsek, Ines Dedovic, Hanno Scharr
      Pages 41-50

    6. Combined Head Localization and Head Pose Estimation for Video–Based Advanced Driver Assistance Systems

      • Andreas Schulz, Naser Damer, Mika Fischer, Rainer Stiefelhagen
      Pages 51-60

    7. Towards Cross-Modal Comparison of Human Motion Data

      • Thomas Helten, Meinard Müller, Jochen Tautges, Andreas Weber, Hans-Peter Seidel
      Pages 61-70

    8. Indoor Calibration Using Segment Chains

      • Jamil Draréni, Renaud Keriven, Renaud Marlet
      Pages 71-80

    9. Multilinear Model Estimation with L 2-Regularization

      • Frank R. Schmidt, Hanno Ackermann, Bodo Rosenhahn
      Pages 81-90

    10. Optimization of Quadrature Filters Based on the Numerical Integration of Improper Integrals

      • Andreas Krebs, Johan Wiklund, Michael Felsberg
      Pages 91-100

    11. Real Time Head Pose Estimation from Consumer Depth Cameras

      • Gabriele Fanelli, Thibaut Weise, Juergen Gall, Luc Van Gool
      Pages 101-110

    12. Putting MAP Back on the Map

      • Patrick Pletscher, Sebastian Nowozin, Pushmeet Kohli, Carsten Rother
      Pages 111-121

    13. Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor

      • Mathieu Aubry, Ulrich Schlickewei, Daniel Cremers
      Pages 122-131

  3. Object Recognition

    1. Multiple Instance Boosting for Face Recognition in Videos

      • Paul Wohlhart, Martin Köstinger, Peter M. Roth, Horst Bischof
      Pages 132-141

    2. SHOG - Spherical HOG Descriptors for Rotation Invariant 3D Object Detection

      • Henrik Skibbe, Marco Reisert, Hans Burkhardt
      Pages 142-151

    3. Pick Your Neighborhood – Improving Labels and Neighborhood Structure for Label Propagation

      • Sandra Ebert, Mario Fritz, Bernt Schiele
      Pages 152-162

  4. Poster Session 2

    1. People Tracking Algorithm for Human Height Mounted Cameras

      • Vladimir Kononov, Vadim Konushin, Anton Konushin
      Pages 163-172

    2. Multi-person Localization and Track Assignment in Overlapping Camera Views

      • Martijn Liem, Dariu M. Gavrila
      Pages 173-183

    3. Relaxed Exponential Kernels for Unsupervised Learning

      • Karim Abou-Moustafa, Mohak Shah, Fernando De La Torre, Frank Ferrie
      Pages 184-195
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Other volumes

  1. Pattern Recognition

Editors and Affiliations

  • Visual Sensorics and Information Processing Lab, Johann-Wolfgang Goethe University, Frankfurt/Main, Germany

    Rudolf Mester

  • Computer Vision Laboratory, Linköping University, Linköping, Sweden

    Michael Felsberg

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