000			03012nam a22004575i 4500
710	2		_aSpringerLink (Online service) _9106996
999			_c110816 _d110816 _x1
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005			20230102113439.0
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008			190228s2019 gw a o |||| 0|eng d
020			_a9783030117603
024	7		_a10.1007/978-3-030-11760-3 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aTA593 _b2019 EB
100	1		_aCrosilla, Fabio _eautor _9670740
245	1	0	_aAdvanced Procrustes Analysis Models in Photogrammetric Computer Vision _cby Fabio Crosilla, Alberto Beinat, Andrea Fusiello, Eleonora Maset, Domenico Visintini
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XI, 172 páginas) _b66 ilustraciones, 59 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _asin mediación _bn
338			_2rdacarrier _avolumen _bnc
347			_atext file _bPDF
490	0		_aCISM International Centre for Mechanical Sciences Courses and Lectures _x0254-1971 _v590
490	0		_aEngineering (Springer-11647)
505	0		_aTheory of procrustes analysis models -- An introduction to computer vision and laser scanning -- Applications of procrustes analysis models.
520	3		_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		7	_2embne _aFotogrametría _xTécnicas digitales _9142858
650		7	_2embne _aVisión por ordenador _9159793
700	1		_aBeinat, Alberto _eautor _9670741
700	1		_aFusiello, Andrea _eautor _9670742
700	1		_aMaset, Eleonora _eautor _9670743
700	1		_aVisintini, Domenico _eautor _9670745
776	0	8	_iPrinted edition: _z9783030117597
776	0	8	_iPrinted edition: _z9783030117610
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-11760-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI