LEADER 03215nam 22005415 450 001 9910337637203321 005 20230726194337.0 010 $a3-030-11760-X 024 7 $a10.1007/978-3-030-11760-3 035 $a(CKB)4970000000010062 035 $a(MiAaPQ)EBC5723060 035 $a(DE-He213)978-3-030-11760-3 035 $a(PPN)235004464 035 $a(EXLCZ)994970000000010062 100 $a20190228d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvanced Procrustes Analysis Models in Photogrammetric Computer Vision /$fby Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (174 pages) 225 1 $aCISM International Centre for Mechanical Sciences, Courses and Lectures,$x2309-3706 ;$v590 311 $a3-030-11759-6 327 $aTheory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models. 330 $aThis book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods. 410 0$aCISM International Centre for Mechanical Sciences, Courses and Lectures,$x2309-3706 ;$v590 606 $aGeographic information systems 606 $aComputer vision 606 $aGeographical Information System 606 $aComputer Vision 615 0$aGeographic information systems. 615 0$aComputer vision. 615 14$aGeographical Information System. 615 24$aComputer Vision. 676 $a526.982 676 $a526.982 700 $aCrosilla$b Fabio$4aut$4http://id.loc.gov/vocabulary/relators/aut$0861034 702 $aBeinat$b Alberto$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aFusiello$b Andrea$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aMaset$b Eleonora$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aVisintini$b Domenico$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910337637203321 996 $aAdvanced Procrustes Analysis Models in Photogrammetric Computer Vision$91921570 997 $aUNINA