Advanced Procrustes Analysis Models in Photogrammetric Computer Vision (Record no. 76404)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03473nam a22005535i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-11760-3 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801214505.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190228s2019 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783030117603 |
| -- | 978-3-030-11760-3 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 910.285 |
| 100 1# - AUTHOR NAME | |
| Author | Crosilla, Fabio. |
| 245 10 - TITLE STATEMENT | |
| Title | Advanced Procrustes Analysis Models in Photogrammetric Computer Vision |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2019. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XI, 172 p. 66 illus., 59 illus. in color. |
| 490 1# - SERIES STATEMENT | |
| Series statement | CISM International Centre for Mechanical Sciences, Courses and Lectures, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Theory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Beinat, Alberto. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Fusiello, Andrea. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Maset, Eleonora. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Visintini, Domenico. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-11760-3 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2019. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Geographic information systems. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer vision. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Geographical Information System. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Vision. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2309-3706 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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