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Pattern Recognition

29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings

  • Conference proceedings
  • © 2007

Access provided by Autonomous University of Puebla

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Overview

Editors:
  1. Fred A. Hamprecht
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  2. Christoph Schnörr
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  3. Bernd Jähne
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4713)

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

Included in the following conference series:

Conference proceedings info: DAGM 2007.

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Table of contents (55 papers)

  1. Front Matter

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  2. Calibration, Pose Estimation and Depth

    1. Self-calibration with Partially Known Rotations

      • Ferid Bajramovic, Joachim Denzler
      Pages 1-10
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    2. A Combined Approach for Estimating Patchlets from PMD Depth Images and Stereo Intensity Images

      • Christian Beder, Bogumil Bartczak, Reinhard Koch
      Pages 11-20
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    3. View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results

      • Holger Friedrich, David Dederscheck, Kai Krajsek, Rudolf Mester
      Pages 21-31
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    4. Clustered Stochastic Optimization for Object Recognition and Pose Estimation

      • Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
      Pages 32-41
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    5. Unambiguous Dynamic Diffraction Patterns for 3D Depth Profile Measurement

      • Dominik Lubeley
      Pages 42-51
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    6. Point Matching Constraints in Two and Three Views

      • Klas Nordberg
      Pages 52-61
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    7. A Multi-view Camera System for the Generation of Real-Time Occlusion-Free Scene Video

      • Alparslan Yildiz, Yusuf Sinan Akgul
      Pages 62-71
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  3. Motion, Tracking and Optical Flow

    1. Selection of Local Optical Flow Models by Means of Residual Analysis

      • Björn Andres, Fred A. Hamprecht, Christoph S. Garbe
      Pages 72-81
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    2. Calibration of a Multi-camera Rig from Non-overlapping Views

      • Sandro Esquivel, Felix Woelk, Reinhard Koch
      Pages 82-91
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    3. Fluid Flow Estimation Through Integration of Physical Flow Configurations

      • Christoph S. Garbe
      Pages 92-101
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    4. Rigid Motion Constraints for Tracking Planar Objects

      • Olaf Kähler, Joachim Denzler
      Pages 102-111
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    5. Detectability of Moving Objects Using Correspondences over Two and Three Frames

      • Jens Klappstein, Fridtjof Stein, Uwe Franke
      Pages 112-121
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    6. An Analysis-by-Synthesis Camera Tracking Approach Based on Free-Form Surfaces

      • Kevin Koeser, Bogumil Bartczak, Reinhard Koch
      Pages 122-131
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    7. An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections

      • Claudia Kondermann, Daniel Kondermann, Bernd Jähne, Christoph Garbe
      Pages 132-141
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    8. Bayesian Model Selection for Optical Flow Estimation

      • Kai Krajsek, Rudolf Mester
      Pages 142-151
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    9. Illumination-Robust Variational Optical Flow with Photometric Invariants

      • Yana Mileva, Andrés Bruhn, Joachim Weickert
      Pages 152-162
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    10. Online Smoothing for Markerless Motion Capture

      • Bodo Rosenhahn, Thomas Brox, Daniel Cremers, Hans-Peter Seidel
      Pages 163-172
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    11. Occlusion Modeling by Tracking Multiple Objects

      • Christian Schmaltz, Bodo Rosenhahn, Thomas Brox, Joachim Weickert, Daniel Cremers, Lennart Wietzke et al.
      Pages 173-183
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    12. Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination

      • Tobias Schuchert, Hanno Scharr
      Pages 184-193
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