Photogrammetric Computer Vision Statistics, Geometry, Orientation an

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 l

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Wolfgang Förstner Bernhard P. Wrobel

Photogrammetric Computer Vision Statistics, Geometry, Orientation and Reconstruction

Geometry and Computing Volume 11

Series editors Herbert Edelsbrunner, Department Computer Science, Durham, NC, USA Leif Kobbelt, RWTH Aachen University, Aachen, Germany Konrad Polthier, AG Mathematical Geometry Processing, Freie Universität Berlin, Berlin, Germany

Geometric shapes belong to our every-day life, and modeling and optimization of such forms determine biological and industrial success. Similar to the digital revolution in image processing, which turned digital cameras and online video downloads into consumer products, nowadays we encounter a strong industrial need and scientific research on geometry processing technologies for 3D shapes. Several disciplines are involved, many with their origins in mathematics, revived with computational emphasis within computer science, and motivated by applications in the sciences and engineering. Just to mention one example, the renewed interest in discrete differential geometry is motivated by the need for a theoretical foundation for geometry processing algorithms, which cannot be found in classical differential geometry. Scope: This book series is devoted to new developments in geometry and computation and its applications. It provides a scientific resource library for education, research, and industry. The series constitutes a platform for publication of the latest research in mathematics and computer science on topics in this field. • • • • • • • • • • • • • • • • • • • • • • • •

Discrete geometry Computational geometry Differential geometry Discrete differential geometry Computer graphics Geometry processing CAD/CAM Computer-aided geometric design Geometric topology Computational topology Statistical shape analysis Structural molecular biology Shape optimization Geometric data structures Geometric probability Geometric constraint solving Algebraic geometry Graph theory Physics-based modeling Kinematics Symbolic computation Approximation theory Scientific computing Computer vision

More information about this series at http://www.springer.com/series/7580

Wolfgang Förstner Bernhard P. Wrobel •

Photogrammetric Computer Vision Statistics, Geometry, Orientation and Reconstruction

123

Wolfgang Förstner Institut für Geodäsie und Geoinformation Rheinische Friedrich-Wilhelms-Universität Bonn Bonn Germany

ISSN 1866-6795 Geometry and Computing ISBN 978-3-319-11549-8 DOI 10.1007/978-3-319-11550-4

Bernhard P. Wrobel Institut für Geodäsie Technische Universität Darmstadt Darmstadt Germany

ISSN 1866-6809

(electronic)

ISBN 978-3-319-11550-4

(eBook)

Library of Congress Control Number: 2016954546 © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmi