000			03447nam a22003735i 4500
001			291960
003			MX-SnUAN
005			20160429154928.0
007			cr nn 008mamaa
008			150903s2008 xxk| o |||| 0|eng d
020			_a9781848001381 _99781848001381
024	7		_a10.1007/9781848001381 _2doi
035			_avtls000344180
039		9	_a201509030353 _bVLOAD _c201405050303 _dVLOAD _y201402061250 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aTaylor, Chris. _eautor _9323467
245	1	0	_aStatistical Models of Shape : _bOptimisation and Evaluation / _cby Chris Taylor, Carole Twining, Rhodri Davies.
264		1	_aLondon : _bSpringer London, _c2008.
300			_brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
500			_aSpringer eBooks
505	0		_aStatistical Models of Shape and Appearance -- Establishing Correspondence -- Objective Functions -- Re-parameterisation of Open and Closed Curves -- Parameterisation and Re-parameterisation of Surfaces -- Optimisation -- Non-parametric Regularization -- Evaluation of Statistical Models.
520			_aStatistical models of shape, learnt from a set of examples, are a widely-used tool in image interpretation and shape analysis. Integral to this learning process is the establishment of a dense groupwise correspondence across the set of training examples. This book gives a comprehensive and up-to-date account of the optimisation approach to shape correspondence, and the question of evaluating the quality of the resulting model in the absence of ground-truth data. It begins with a complete account of the basics of statistical shape models, for both finite and infinite-dimensional representations of shape, and includes linear, non-linear, and kernel-based approaches to modelling distributions of shapes. The optimisation approach is then developed, with a detailed discussion of the various objective functions available for establishing correspondence, and a particular focus on the Minimum Description Length approach. Various methods for the manipulation of correspondence for shape curves and surfaces are dealt with in detail, including recent advances such as the application of fluid-based methods. This complete and self-contained account of the subject area brings together results from a fifteen-year program of research and development. It includes proofs of many of the basic results, as well as mathematical appendices covering areas which may not be totally familiar to some readers. Comprehensive implementation details are also included, along with extensive pseudo-code for the main algorithms. Graduate students, researchers, teachers, and professionals involved in either the development or the usage of statistical shape models will find this an essential resource.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aTwining, Carole. _eautor _9323468
700	1		_aDavies, Rhodri. _eautor _9323469
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781848001374
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-138-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c291960 _d291960