3D Computer Vision

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.

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.

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

Autorentext

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.

Inhalt

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 HumanRobot Interaction.- Applications to Lunar Remote Sensing.- Conclusion.