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008			160419s2016 gw a s 001 0 eng d
020			_a9783319325989
024	7		_a10.1007/978-3-319-32598-9 _2doi
040			_aES-MaUEC
050		4	_aRA776.5 _b.Z43 2016 EB
082	0	4	_a006.6
082	0	4	_a006.37
100	1		_aZhang, David, _d1949- _0Local _948572
245	1	0	_aComputer Models for Facial Beauty Analysis _cby David Zhang, Fangmei Chen, Yong Xu
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XV, 268 p.) _b141 ilustraciones
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aOverview -- Typical Facial Beauty Analysis -- Facial Landmark Model Designs -- Geometrics Facial Beauty Study -- Putative Ratio Rules for Facial Beauty -- Beauty Analysis Fusion Model of Texture and Geometric Features -- Optimal Feature Set for Facial Beauty Analysis -- Examination of Averageness Hypothesis on Large Database -- A New Hypothesis on Facial Beauty Perception -- Beauty Analysis by Learning Machine and Subspace Extension -- Combining a Causal Effect Criterion for Evaluation of Facial Beauty Models -- Data-Driven Facial Beauty Analysis: Prediction, Retrieval and Manipulation -- A Facial Beauty Analysis Simulation System -- Book Review and Future Work.
520			_aThis book covers the key advances in computerized facial beauty analysis, with an emphasis on data-driven research and the results of quantitative experiments. It takes a big step toward practical facial beauty analysis, proposes more reliable and stable facial features for beauty analysis and designs new models, methods, algorithms and schemes while implementing a facial beauty analysis and beautification system. This book also tests some previous putative rules and models for facial beauty analysis by using computationally efficient mathematical models and algorithms, especially large scale database-based and repeatable experiments.The first section of this book provides an overview of facial beauty analysis. The base of facial beauty analysis, i.e., facial beauty features, is presented in part two. Part three describes hypotheses on facial beauty, while part four defines data-driven facial beauty analysis models. This book concludes with the authors explaining how to implement their new facial beauty analysis system.This book is designed for researchers, professionals and post graduate students working in the field of facial beauty analysis, computer vision, human-machine interface, pattern recognition and biometrics. Those involved in interdisciplinary fields with also find the contents useful. The ideas, means and conclusions for beauty analysis are valuable for researchers and the system design and implementation can be used as models for practitioners and engineers.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_aSalud _0comprobar BNE19925912625 _2embne _9147461
650		7	_aMultimedia _0comprobar BNE19930048068 _2embne _9147630
700	1		_aChen, Fangmei _999265 _0Local
700	1		_aXu, Yong _999266 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-32598-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319325989
907			_a.b1295214x _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b23-09-17 _cm _dz _eo _feng _ggw _h0
945			_aRA776.5 .Z43 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11594871 _z06-04-17
999			_c85936 _d85936 _x1