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 ...
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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 rela-tions, tools that are useful also in the context of uncertain reasoning in point clouds. Part III is de-voted to modelling the geometry of single and multiple cameras, addressing calibration and orienta-tion, including statistical evaluation and reconstruction of corresponding scene features and surfaces based on geometric image features. The authors provide algorithms for various geometric computa-tion problems in vision metrology, together with mathematical justifications and statistical analysis, thus enabling thorough evaluations. The chapters are self-contained with numerous figures and exer-cises, and they are supported by an appendix that explains the basic mathematical notation and a de-tailed index. The book can serve as the basis for undergraduate and graduate courses in photogrammetry, com-puter 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.
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Add this copy of Photogrammetric Computer Vision: Statistics, Geometry, to cart. $27.41, fair condition, Sold by Academic Book Solutions rated 5.0 out of 5 stars, ships from Medford, NY, UNITED STATES, published 2018 by Springer.
Edition:
Softcover reprint of the original 1st edition 2016
Publisher:
Springer
Published:
06/2018
Language:
English
Alibris ID:
17267210102
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Used-Acceptable. A readable copy. All pages are intact, and the cover is intact (the dust cover may be missing). Pages can include notes--in pen or highlighter.
Add this copy of Photogrammetric Computer Vision: Statistics, Geometry, to cart. $61.05, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2018 by Springer.
Add this copy of Photogrammetric Computer Vision: Statistics, Geometry, to cart. $78.07, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2018 by Springer.