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3D Computer Vision : Efficient Methods and Applications

Author: Christian Wöhler
Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Series: X.media.publishing
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Christian Wöhler
ISBN: 3642017320 9783642017322
OCLC Number: 1066616520
Description: 1 online resource (XVI, 385 pages 170 illustrations) : online resource
Contents: Methods of 3D Computer Vision --
Geometric Approaches to Three-dimensional Scene Reconstruction --
Photometric Approaches to Three-dimensional Scene Reconstruction --
Real-aperture Approaches to Three-dimensional Scene Reconstruction --
Integrated Frameworks for Three-dimensional Scene Reconstruction --
Application Scenarios --
Applications to Industrial Quality Inspection --
Applications to Safe Human-Robot Interaction --
Applications to Lunar Remote Sensing --
Conclusion.
Series Title: X.media.publishing
Responsibility: by Christian Wöhler.

Abstract:

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.

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