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Diplomarbeit



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DIPLOMARBEIT

Real-time 3D Reconstruction

for Autonomous Football Playing Robots

Using a Feature Based Stereo Approach

ausgeführt am

Institut für Rechnergestützte Automation,

Arbeitsbereich für Mustererkennung und Bildverarbeitung

der Technischen Universität Wien

unter der Anleitung von
a.o.Univ.Prof.Dipl.-Ing.Dr.Robert Sablatnig

durch

Harald Entner
Margarethen Straße 88-90 / 44

A-1050 Wien

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Abstract:

This diploma thesis addresses the topics of stereo 3D reconstruction and shows the results of a feature based real-time stereo algorithm. For understanding issues, it uses the pinhole camera to describe perspective projection. In reality, a lens is used to project the light rays onto the sensor chip, thus an extended model is presented in order to describe the projection using a lens and to introduce camera calibration. In a dynamic environment stereo from motion is not possible, as a result a multi-camera system is needed. Epipolar geometry describes this special geometry and can be useful to minimize the computational cost of searching corresponding points in two images. The feature extraction uses the Canny algorithm followed by a new iterative line detection. Straight lines are considered to be an appropriate representation of the football field and the robots. After features have been found the correspondences are searched and used to calculate the 3D position of the features. Chapter 2 covers the theoretical background, whereas Chapter 3 describes the implemented methods. In Chapter 4 every part of the algorithm is evaluated. It is followed by the conclusion and the future plans.

Acknowledgements

The author wants to thank
Robert Sablatnig
who reviewed this work and helped to reach the final result.
My Parents
for supporting me during my studies.
Bernhard Koch
for proof-reading this thesis.

  • Contents
  • Introduction and Overview
    • Objective of this thesis
    • Overview
  • Stereo Vision
    • Perspective Projection
      • The Pinhole Camera
      • Camera Model with Lens
    • Camera Calibration
    • Stereo Geometry
      • Epipolar Geometry
      • Fundamental Matrix
      • Rectification
      • Occlusion
      • Constraints
    • Correspondence Analysis
      • Intensity-based correspondence analysis
        • Correlation
        • Phase Difference
      • Feature-based Correspondence Analysis
    • 3D Reconstruction
    • Summary
  • Methods
    • Image Acquisition
    • Calibration
    • Edge detection
    • Line Extraction
    • Correspondence Analysis
      • Search for corresponding lines
      • Object detection
    • 3D Reconstruction and Visualization
    • Robot Head
    • Summary
  • Results
    • Calibration
    • Line Detection
      • Synthetic data
      • Real data
    • Correspondence Analysis
      • Synthetic data
      • Real data
    • 3D Reconstruction
      • Synthetic data
      • Real data
    • Summary
  • Conclusion and Future Work
  • Bibliography
  • About this document …


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