Photogrammetric Computer Vision: Statistics, Geometry, Orientation And Reconstruction by Wolfgang FörstnerPhotogrammetric Computer Vision: Statistics, Geometry, Orientation And Reconstruction by Wolfgang Förstner

Photogrammetric Computer Vision: Statistics, Geometry, Orientation And Reconstruction

byWolfgang Förstner, Bernhard P. Wrobel

Hardcover | October 12, 2016

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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.

Prof. Dr.-Ing. Wolfgang Förstner is an internationally leading expert in photogrammetry, computer vision, pattern recognition and machine learning. Throughout his exemplary career of nearly 40 years as a researcher, inventor, innovator and educator, he has made exceptionally significant scientific contributions in many areas of informa...
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Title:Photogrammetric Computer Vision: Statistics, Geometry, Orientation And ReconstructionFormat:HardcoverDimensions:816 pagesPublished:October 12, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319115499

ISBN - 13:9783319115498

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Table of Contents

Introduction.- Tasks for Photogrammetric Computer Vision.- Modelling in Automated Photogrammetric Computer Vision.- Probability Theory and Random Variables.- Testing.- Estimation.- Homogeneous Representations of Points, Lines and Planes.- Transformations.- Geometric Operations.- Rotations.- Oriented Projective Geometry.- Reasoning with Uncertain Geometric Entities.- Orientation and Reconstruction.- Bundle Adjustment.- Surface Reconstruction from Point Clouds.- References.- Index.

Editorial Reviews

"This book is one of two volumes on photogrammetric computer vision. This volume focuses on geometric image analysis based on statistics . . This is an excellent textbook. It can be used in higher education at BSc. and MSc. levels. The authors gives different education programs with different objectives to be achieved. This greatly helps to use the book." (Attila Fazekas, zbMATH, 1372.68002, 2017)