This book provides an introduction to the foundations of three-dimensional computer vision and describes recent contributions to the field. It examines three-dimensional scene analysis and surface reconstruction, pose estimation, and motion analysis.
Christian Wohler received his Diploma in Physics from Wurzburg University in 1996, the Doctorate degree in Computer Science from Bonn University in 2000, and the Habilitation in Applied Computer Science from Bielefeld University in 2009. He is working as a research scientist in the Environment Perception department of Daimler Group Research and Advanced Engineering in Ulm. Since 2005 he is a visiting lecturer at the Technical Faculty of Bielefeld University. His scientific interests are in the domain of pattern classification, three-dimensional computer vision, and photogrammetry, with applications in the fields of driver assistance systems, industrial machine vision, and planetary science."
Introduction.- Methods of three-dimensional computer vision.- Geometric approaches to the three-dimensional scene reconstruction.- Photometric approaches to the 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.- Bibliography.- Index.