Photogrammetric Computer Vision ― Statistics, Geometry, Orientation and Reconstruction

This book is about concepts and methods for developing software for automatically analyzing images, with a focus on main application areas, mapping and image-based metrology. The first part of the book introduces the related statistics and estimation theory required, including probability theory, testing and estimation. The second part of the book explains all aspects of the related geometry, with chapters on homogeneous representations of points, lines and planes; transformations; geometric operations; rotations; oriented projective geometry; and reasoning with uncertain geometric entities. The third part of the book explains orientation and reconstruction.The book is suitable for advanced undergraduate and graduate students, practitioners, and researchers in computer vision.

Prof. Dr.-Ing. Wolfgang Forstner led the institute for Photogrammetry at the University of Bonn from 1990 to 2012. He published more than 100 academic papers, coauthored three book chapters for the ASPRS Manual of Photogrammetry, supervised more than 30 Ph.D. theses, and was closely involved with the Intl. Society for Photogrammetry and Remote Sensing and the German Association for Pattern Recognition. His main research interests are the use of statistical methods in geometry and image analysis within photogrammetry and computer vision. Prof. Dr.-Ing. Bernhard P. Wrobel received his Ph.D. (Dr.-Ing) in theoretical geodesy from the University of Bonn. From 1975 to 1981 he was professor for close-range photogrammetry and from 1981 to 2001 for photogrammetry at Darmstadt University of Technology, and also head of the Institute for Photogrammetry and Cartography. He was closely involved with the Intl. Society for Photogrammetry and Remote Sensing, and he coauthored three book chapters for the ASPRS Manual of Photogrammetry. Besides his work related to precise mensuration tasks in industry, his research interests cover the mathematical fundamentals of photogrammetry such as the digital inversion of image formation for reconstruction of 3D surfaces and reflectance from multiple images.