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3D Computer Vision

Efficient Methods and Applications

By Christian Wöhler

3D Computer Vision Cover Image

This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. It examines three-dimensional scene analysis and surface reconstruction, pose estimation, and motion analysis.

Full Description

  • ISBN13: 978-3-6420-1731-5
  • 404 Pages
  • User Level: Professionals
  • Publication Date: July 28, 2009
  • Available eBook Formats: PDF
  • eBook Price: $49.95
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Full Description
This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. Geometric methods include linear and bundle adjustment based approaches to scene reconstruction and camera calibration, stereo vision, point cloud segmentation, and pose estimation of rigid, articulated, and flexible objects. Photometric techniques evaluate the intensity distribution in the image to infer three-dimensional scene structure, while real-aperture approaches exploit the behavior of the point spread function. It is shown how the integration of several methods increases reconstruction accuracy and robustness. Applications scenarios include industrial quality inspection, metrology, human-robot-interaction, and remote sensing.
Table of Contents

Table of Contents

  1. Introduction.
  2. Methods of three
  3. dimensional computer vision.
  4. Geometric approaches to the three
  5. dimensional scene reconstruction.
  6. Photometric approaches to the three
  7. dimensional scene reconstruction.
  8. Real
  9. aperture approaches to three
  10. dimensional scene reconstruction.
  11. Integrated frameworks for three
  12. dimensional scene reconstruction.
  13. Application scenarios.
  14. Applications to industrial quality inspection.
  15. Applications to safe human
  16. robot interaction.
  17. Applications to lunar remote sensing.
  18. Conclusion.
  19. Bibliography.
  20. Index.
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