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007			cr cnu|||unuuu
008			170316s2017 sz ob 000 0 eng d
020			_a3319535080 _q(electronic bk.)
020			_a9783319535081 _q(electronic bk.)
020			_z3319535072
020			_z9783319535074
040			_aN$T _cN$T _dN$T _dEBLCP _dYDX _dGW5XE _dOCLCF _dNJR _dUAB _dIOG _dAZU _dUPM _dMERER _dESU _dOCLCQ _dJBG _dIAD _dICW _dICN _dCOO _dOTZ _dVT2 _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aTA1637.5 _bL378 2017 EB
100	1		_aLast, Carsten, _eautor
245	1	0	_aFrom global to local statistical shape priors : _bnovel methods to obtain accurate reconstruction results with a limited amount of training shapes _cCarsten Last.
264		1	_aCham, Switzerland _bSpringer _c[2017]
264		4	_c2017
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	0		_aStudies in systems, decision and control _vvolume 98
500			_aSpringerLink
504			_aIncluye referencias bibliográficas
505	0		_aBasics -- Statistical Shape Models (SSMs) -- A Locally Deformable Statistical Shape Model (LDSSM) -- Evaluation of the Locally Deformable Statistical Shape Model -- Global-To-Local Shape Priors for Variational Level Set Methods -- Evaluation of the Global-To-Local Variational Formulation -- Conclusion and Outlook.
520	3		_aThis book proposes a new approach to handle the problem of limited training data. Common approaches to cope with this problem are to model the shape variability independently across predefined segments or to allow artificial shape variations that cannot be explained through the training data, both of which have their drawbacks. The approach presented uses a local shape prior in each element of the underlying data domain and couples all local shape priors via smoothness constraints. The book provides a sound mathematical foundation in order to embed this new shape prior formulation into the well-known variational image segmentation framework. The new segmentation approach so obtained allows accurate reconstruction of even complex object classes with only a few training shapes at hand.
588	0		_aOnline resource, title from PDF title page (EBSCO, viewed March 17, 2017).
988			_aEBOOK, EBSPRINGER_2017C
650		7	_2embne _aProceso digital de imágenes _9413188
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-53508-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI