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Photogrammetric Computer Vision

Statistics, Geometry, Orientation and Reconstruction

Geometry and Computing 11


This textbook offers a statistical view on the geometry of multiple view analysis, required for camera calibration and orientation and for geometric scene reconstruction based on geometric image features. The authors have backgrounds in geodesy and also long experience with development and research in computer vision, and this is the first book to present a joint approach from the converging fields of photogrammetry and computer vision.

Part I of the book provides an introduction to estimation theory, covering aspects such as Bayesian estimation, variance components, and sequential estimation, with a focus on the statistically sound diagnostics of estimation results essential in vision metrology. Part II provides tools for 2D and 3D geometric reasoning using projective geometry. This includes oriented projective geometry and tools for statistically optimal estimation and test of geometric entities and transformations and their relations, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is devoted to modelling the geometry of single and multiple cameras, addressing calibration and orientation, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computation problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exercises, and they are supported by an appendix that explains the basic mathematical notation and a detailed index.


The book can serve as the basis for undergraduate and graduate courses in photogrammetry, computer vision, and computer graphics. It is also appropriate for researchers, engineers, and software developers in the photogrammetry and GIS industries, particularly those engaged with statistically based geometric computer vision methods.


Portrait
Prof. Dr.-Ing. Wolfgang Förstner 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.
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Einband gebundene Ausgabe
Seitenzahl 816
Erscheinungsdatum 12.10.2016
Serie Geometry and Computing 11
Sprache Englisch
ISBN 978-3-319-11549-8
Verlag Springer
Maße (L/B/H) 292/223/53 mm
Gewicht 2246
Abbildungen 222 schwarzweisse Abbilmit 59 FarbabbildungenFarbabb.
Auflage 1st ed. 2016
Buch (gebundene Ausgabe, Englisch)
99,99
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