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008			160212s2016 gw | s |||| 0|eng d
020			_a9783319285016
040			_aES-MaUEC
050		4	_aTA1653 _b.F334 2016
082	0	4	_a570.15195
245	1	0	_aFace Recognition Across the Imaging Spectrum _cedited by Thirimachos Bourlai
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XII, 383 páginas) _b196 ilustraciones, 34 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aAn Overview of Spectral Imaging of Human Skin toward Face Recognition -- Collection of Multi-Spectral Biometric Data for Cross-Spectral Identification Applications -- Hyperspectral Face Databases for Facial Recognition Research -- MWIR-to-Visible and LWIR-to-Visible Face Recognition Using Partial Least Squares and Dictionary Learning -- Local Operators and Measures for Heterogeneous Face Recognition -- Assessment of Facial Recognition System Performance in Realistic Operating Environments -- Understanding Thermal Face Detection: Challenges and Evaluation -- Face Recognition Systems under Spoofing Attacks -- for Biometric Applications -- Multispectral Ocular Biometrics.
520	3		_aThis authoritative text/reference presents a comprehensive review of algorithms and techniques for face recognition (FR), with an emphasis on systems that can be reliably used in operational environments. Insights are provided by an international team of pre-eminent experts into the processing of multispectral and hyperspectral face images captured under uncontrolled environments. These discussions cover a variety of imaging sensors ranging from state-of-the-art visible and infrared imaging sensors, to RGB-D and mobile phone image sensors. A range of different biometric modalities are also examined, including face, periocular and iris. Topics and features: Presents a detailed introduction to the spectral imaging of human skin, and describes the data collection of multispectral and hyperspectral face images Covers a range of face-based identification technologies addressing challenges in the processing of face images in visible and infrared spectral bands Provides an overview of spoofing attacks and counter-measures for FR systems, and analyzes the effects of digital image alterations on FR algorithms Investigates the processing of degraded face photographs from ID documents, and examines mobile FR in still images and video sequences Proposes a state-of-the-art RGB-D FR algorithm, and suggests algorithms for 3D-based FR as well as techniques blending 2D and 3D data Discusses score normalization methods, and explores the use of patterns in the sclera in order to improve the robustness of iris recognition systems This timely volume is a mine of useful information for researchers, practitioners and students involved in image processing, computer vision, biometrics and security. Dr. Thirimachos Bourlai is an Assistant Professor in the Lane Department of Computer Science and Electrical Engineering at West Virginia University, Morgantown, WV, USA.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650	0	7	_aCriminalística _0 _2embne _9146330
650	0	7	_aReconocimiento de formas _0 _2embne _9152614
700	1		_aBourlai, Thirimachos _eeditor literario _0Local _998431
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-28501-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319285016
907			_a.b12947386 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aTA1653 .F334 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i1159097x _z06-04-17
999			_c85460 _d85460 _x1