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3D Computer Vision

Efficient Methods and Applications

By Christian Wöhler

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In its revised and updated new edition, this book introduces the foundations of three-dimensional computer vision and surveys recent innovations. Describes applications in industrial quality inspection and metrology, human-robot interaction and remote sensing.

Full Description

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  • ISBN13: 978-1-4471-4149-5
  • 398 Pages
  • User Level: Professionals
  • Publication Date: July 23, 2012
  • Available eBook Formats: PDF
Full Description
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.
Table of Contents

Table of Contents

  1. Part I: Methods of 3D Computer Vision.
  2. Triangulation
  3. based Approaches to Three
  4. dimensional Scene Reconstruction.
  5. Three
  6. dimensional Pose Estimation and SegmentationMethods.
  7. Intensity
  8. based and Polarisation
  9. based Approaches.
  10. Point Spread Function Based Approaches to Three
  11. dimensional Scene Reconstruction.
  12. Integrated Frameworks for Three
  13. dimensional Scene Reconstruction.
  14. Part II: Application Scenarios.
  15. Applications to Industrial Quality Inspection.
  16. Applications to Safe Human–Robot Interaction.
  17. Applications to Lunar Remote Sensing.
  18. Conclusion.

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