000 03473nam a22005535i 4500
001 978-3-030-11760-3
003 DE-He213
005 20220801214505.0
007 cr nn 008mamaa
008 190228s2019 sz | s |||| 0|eng d
020 _a9783030117603
_9978-3-030-11760-3
024 7 _a10.1007/978-3-030-11760-3
_2doi
050 4 _aG70.212-.217
072 7 _aRGW
_2bicssc
072 7 _aTEC036000
_2bisacsh
072 7 _aRGW
_2thema
082 0 4 _a910.285
_223
100 1 _aCrosilla, Fabio.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938674
245 1 0 _aAdvanced Procrustes Analysis Models in Photogrammetric Computer Vision
_h[electronic resource] /
_cby Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini.
250 _a1st ed. 2019.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2019.
300 _aXI, 172 p. 66 illus., 59 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aCISM International Centre for Mechanical Sciences, Courses and Lectures,
_x2309-3706 ;
_v590
505 0 _aTheory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models.
520 _aThis 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.
650 0 _aGeographic information systems.
_911535
650 0 _aComputer vision.
_938675
650 1 4 _aGeographical Information System.
_931831
650 2 4 _aComputer Vision.
_938676
700 1 _aBeinat, Alberto.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938677
700 1 _aFusiello, Andrea.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938678
700 1 _aMaset, Eleonora.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938679
700 1 _aVisintini, Domenico.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_938680
710 2 _aSpringerLink (Online service)
_938681
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030117597
776 0 8 _iPrinted edition:
_z9783030117610
830 0 _aCISM International Centre for Mechanical Sciences, Courses and Lectures,
_x2309-3706 ;
_v590
_938682
856 4 0 _uhttps://doi.org/10.1007/978-3-030-11760-3
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c76404
_d76404