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© 2009

3D Computer Vision

Efficient Methods and Applications

  • Authors
Book

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

About the authors

Christian Wöhler received his Diploma in Physics from Würzburg University in 1996, the Doctorate degree in Computer Science from Bonn University in 2000, and the Habilitation in Applied Computer Science from Bielefeld University in 2009. He is working as a research scientist in the Environment Perception department of Daimler Group Research and Advanced Engineering in Ulm. Since 2005 he is a visiting lecturer at the Technical Faculty of Bielefeld University. His scientific interests are in the domain of pattern classification, three-dimensional computer vision, and photogrammetry, with applications in the fields of driver assistance systems, industrial machine vision, and planetary science."

Bibliographic information

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