Fabio Crosilla Alberto Beinat Andrea Fusiello Eleonora Maset Domenico Visintini Crosilla Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

Advanced Procrustes Analysis Models in Photogrammetric Computer Vision

von Fabio Crosilla Alberto Beinat Andrea Fusiello Eleonora Maset Domenico Visintini

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Beschreibung

This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods.

This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods.


Unique reference for Procrustean methods applied to Photogrammetry and Computer Vision Innovative and unconventional mathematical approach to fundamentals of Photogrammetry and Computer Vision Complements the book “Photogrammetric Computer Vision” by Förstner and Wrobel (Springer 2016)

Autor*in

Fabio Crosilla

Themen in »Advanced Procrustes Analysis Models in Photogrammetric Computer Vision«

Procrustes analysis Procrustes problems Bundle adjustment Point clouds registration Algebraic techniques remote sensing/photogrammetry

Stimmen zu »Advanced Procrustes Analysis Models in Photogrammetric Computer Vision«

Details

ISBN: 9783030117603
Verlag: Springer International Publishing
Erscheinung: 28.02.2019

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