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3D Computer Vision

Efficient Methods and Applications

  • Book
  • © 2013

Overview

Authors:
  1. Christian Wöhler

    1. Dept. of Electrical Engineering and IT, Technical University of Dortmund, Dortmund, Germany

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  • Examines 3D surface reconstruction of strongly non-Lambertian surfaces by the combination of photometric stereo and active range scanning, with applications to industrial metrology
  • Discusses pose estimation and tracking of human body parts, and recognition of actions performed in a complex production environment
  • Reviews the construction of high-resolution lunar digital elevation models based on orbital imagery in combination with laser altimetry data
  • Includes supplementary material: sn.pub/extras

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

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Table of contents (9 chapters)

  1. Front Matter

    Pages I-XVII
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  3. Application Scenarios

    1. Front Matter

      Pages 245-245
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    2. Applications to Industrial Quality Inspection

      • Christian Wöhler
      Pages 247-280

    3. Applications to Safe Human–Robot Interaction

      • Christian Wöhler
      Pages 281-310

    4. Applications to Lunar Remote Sensing

      • Christian Wöhler
      Pages 311-355

    5. Conclusion

      • Christian Wöhler
      Pages 357-362

  4. Back Matter

    Pages 363-381
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About this book

This indispensable text introduces the foundations of three-dimensional computer vision and describes recent contributions to the field. Fully revised and updated, this much-anticipated new edition reviews a range of triangulation-based methods, including 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. Also covered are intensity-based techniques that evaluate the pixel grey values in the image to infer three-dimensional scene structure, and point spread function based approaches that exploit the effect of the optical system. The text shows how methods which integrate these concepts are able to increase reconstruction accuracy and robustness, describing applications in industrial quality inspection and metrology, human-robot interaction, and remote sensing.

Reviews

"I do recommend serious consideration of this book for a one-semester advanced graduate course on methods for 3D scene reconstruction, based on the first five chapters. For graduate students pursuing PhDs in the field of computer vision, this is a book they won’t want to miss." (Zhaoqiang Lai, ACM Computing Reviews, Mar 8 2013, Review # CR141001)

Authors and Affiliations

  • Dept. of Electrical Engineering and IT, Technical University of Dortmund, Dortmund, Germany

    Christian Wöhler

About the author

Christian Wöhler is Professor of Image Analysis at the Department of Electrical Engineering and Information Technology of TU Dortmund, Germany. His scientific interests are in the domains of computer vision, photogrammetry, remote sensing, and pattern classification, with applications in various fields including machine vision, robotics, advanced driver assistance systems, and planetary science.

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