3D Computer Vision

Efficient Methods and Applications

  • Authors
  • Christian Wöhler

Part of the X.media.publishing book series (XMEDIAPUBL)

Table of contents

  1. Front Matter
    Pages 1-12
  2. Methods of 3D Computer Vision

  3. Application Scenarios

    1. Front Matter
      Pages 242-242
    2. Christian Wöhler
      Pages 243-275
    3. Christian Wöhler
      Pages 277-301
    4. Christian Wöhler
      Pages 303-350
    5. Christian Wöhler
      Pages 351-357
  4. Back Matter
    Pages 1-27

About this book

Introduction

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.

Keywords

3D 3D graphics Bundle adjustment Computer graphics Computer vision Industrial metrology Photogrammetry Remote sensing Robotics

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-01732-2
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-01731-5
  • Online ISBN 978-3-642-01732-2
  • Series Print ISSN 1612-1449
  • About this book