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Advanced procrustes analysis models in photogrammetric computer vision 123

Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini (Springer Nature , 2019)

 Abstrak

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.;;

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 Metadata

No. Panggil : e20505581
Entri tambahan-Nama orang :
Subjek :
Penerbitan : Switzerland: Springer Nature , 2019
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik: xi, 172 pages : illustration
Tautan: https://doi.org/10.1007/978-3-030-11760-3
Lembaga Pemilik: Universitas Indonesia
Lokasi:
  • Ketersediaan
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No. Panggil No. Barkod Ketersediaan
e20505581 02-20-246024965 TERSEDIA
e20505581 TERSEDIA
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