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008 150903s2007 gw | o |||| 0|eng d
020 _a9783540493464
_99783540493464
024 7 _a10.1007/9783540493464
_2doi
035 _avtls000349811
039 9 _a201509030456
_bVLOAD
_c201405050347
_dVLOAD
_y201402071211
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQH323.5
100 1 _9322174
_aHammoud, Riad I.
_eeditor.
245 1 0 _aFace Biometrics for Personal Identification :
_bMulti-Sensory Multi-Modal Systems /
_cedited by Riad I. Hammoud, Besma R. Abidi, Mongi A. Abidi.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2007.
300 _axv, 275 páginas 118 ilustraciones, 76 en color.
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aSignals and Communication Technology,
_x1860-4862
500 _aSpringer eBooks
505 0 _aSpace/Time Emerging Face Biometrics -- Pose and Illumination Invariant Face Recognition Using Video Sequences -- Recognizing Faces Across Age Progression -- Quality Assessment and Restoration of Face Images in Long Range/High Zoom Video -- Core Faces: A Shift-Invariant Principal Component Analysis (PCA) Correlation Filter Bank for Illumination-Tolerant Face Recognition -- Multi-Sensory Face Biometrics -- Towards Person Authentication by Fusing Visual and Thermal Face Biometrics -- Multispectral Face Recognition: Fusion of Visual Imagery with Physiological Information -- Feature Selection for Improved Face Recognition in Multisensor Images -- Multimodal Face Biometrics -- Multimodal Face and Speaker Identification for Mobile Devices -- Quo Vadis: 3D Face and Ear Recognition? -- Human Recognition at a Distance in Video by Integrating Face Profile and Gait -- Generic Approaches to Multibiometric Systems -- Fusion Techniques in Multibiometric Systems -- Performance Prediction Methodology for Multibiometric Systems.
520 _aThis book provides an ample coverage of theoretical and experimental state-of-the-art work as well as new trends and directions in the biometrics field. It offers students and software engineers a thorough understanding of how some core low-level building blocks of a multi-biometric system are implemented. While this book covers a range of biometric traits including facial geometry, 3D ear form, fingerprints, vein structure, voice, and gait, its main emphasis is placed on multi-sensory and multi-modal face biometrics algorithms and systems. "Multi-sensory" refers to combining data from two or more biometric sensors, such as synchronized reflectance-based and temperature-based face images. "Multi-modal" biometrics means fusing two or more biometric modalities, like face images and voice timber. This practical reference contains four distinctive parts and a brief introduction chapter. The first part addresses new and emerging face biometrics. Emphasis is placed on biometric systems where single sensor and single modality are employed in challenging imaging conditions. The second part on multi-sensory face biometrics deals with the personal identification task in challenging variable illuminations and outdoor operating scenarios by employing visible and thermal sensors. The third part of the book focuses on multi-modal face biometrics by integrating voice, ear, and gait modalities with facial data. The last part presents generic chapters on multi-biometrics fusion methodologies and performance prediction techniques.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aAbidi, Besma R.
_eeditor.
_9331154
700 1 _aAbidi, Mongi A.
_eeditor.
_9331155
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540493440
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-3-540-49346-4
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c296233
_d296233