Advanced Procrustes Analysis Models in Photogrammetric Computer Vision: CISM International Centre for Mechanical Sciences, cartea 590
Autor Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintinien Limba Engleză Hardback – 8 mar 2019
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Specificații
ISBN-13: 9783030117597
ISBN-10: 3030117596
Pagini: 176
Ilustrații: XI, 172 p. 66 illus., 59 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.44 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria CISM International Centre for Mechanical Sciences
Locul publicării:Cham, Switzerland
ISBN-10: 3030117596
Pagini: 176
Ilustrații: XI, 172 p. 66 illus., 59 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.44 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria CISM International Centre for Mechanical Sciences
Locul publicării:Cham, Switzerland
Cuprins
Theory of procrustes analysis models.- An introduction to computer vision and laser scanning.- Applications of procrustes analysis models
Textul de pe ultima copertă
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.
Caracteristici
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)