3D Computer Vision

Efficient Methods and Applications
2. Auflage 2013
ISBN: 978-1-4471-4149-5
Verlag: Springer

Buch, Englisch, 382 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 764 g

Reihe: X.media.publishing

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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Wöhler, Christian

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

Part I: Methods of 3D Computer Vision.- Triangulation-based Approaches to Three-dimensional Scene Reconstruction.- Three-dimensional Pose Estimation and SegmentationMethods.- Intensity-based and Polarisation-based Approaches.- Point Spread Function Based Approaches to Three-dimensional Scene Reconstruction.- Integrated Frameworks for Three-dimensional Scene Reconstruction.- Part II: Application Scenarios.- Applications to Industrial Quality Inspection.- Applications to Safe Human–Robot Interaction.- Applications to Lunar Remote Sensing.- Conclusion.

Über Autor(innen)

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.