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008 150903s2008 xxk| o |||| 0|eng d
020 _a9781848001299
_99781848001299
024 7 _a10.1007/9781848001299
_2doi
035 _avtls000344176
039 9 _a201509030353
_bVLOAD
_c201405050303
_dVLOAD
_y201402061250
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aT385
100 1 _aBhanu, Bir.
_eautor
_9302149
245 1 0 _aHuman Ear Recognition by Computer /
_cby Bir Bhanu, Hui Chen.
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
490 0 _aAdvances in Pattern Recognition,
_x1617-7916
500 _aSpringer eBooks
505 0 _aIntroduction -- Ear Detection and Recognition in 2D Images -- 3D Object Recognition and 3D Biometrics -- 3D Ear Detection -- Recognizing 3D Ears Using Helix/Anti-helix -- Recognizing 3D Ears using Local Surface Patches -- Rapid 3D Ear Indexing and Recognition -- Performance Comparison and Prediction -- Conclusion and Future Work.
520 _aBiometrics deals with recognition of individuals based on their physiological or behavioral characteristics. The human ear is a new feature in biometrics that has several merits over the more common face, fingerprint and iris biometrics. Unlike the fingerprint and iris, it can be easily captured from a distance without a fully cooperative subject, although sometimes it may be hidden with hair, scarf and jewellery. Also, unlike a face, the ear is a relatively stable structure that does not change much with the age and facial expressions. Human Ear Recognition by Computer is the first book on the automatic recognition of human ears. It presents an entire range of computational algorithms for recognition of humans by their ears. These algorithms have been tested and validated on the largest databases that are available today. Specific algorithms addressed include: • Ear helix/anti-helix based representation • Global-to-local registration • Ear recognition using helix/anti-helix representation • Ear recognition using a new local surface patch representation • Efficient ear indexing and recognition • Performance prediction for 3D ear recognition • Generality and applications in computer vision and pattern recognition This state-of-the-art research reference explores all aspects of 3D ear recognition, including representation, detection, recognition, indexing and performance prediction. It has been written for a professional audience of both researchers and practitioners within industry, and is also ideal as an informative text for graduate students in computer science and engineering. Professor Bir Bhanu has been director of the Visualization and Intelligent Systems Laboratory (at the University of California at Riverside) since 1991 and serves as the founding Director for the Center for Research in Intelligent Systems. He also has considerable experience working within industry and is the successful author of several books. He is a Fellow of IEEE, AAAS, IAPR, SPIE and was a Senior Fellow at Honeywell Inc. Dr. Hui Chen works alongside Professor Bhanu and has worked for Siemens Medical solutions and the Chinese Academy of Sciences.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aChen, Hui.
_eautor
_9323422
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781848001282
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84800-129-9
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291922
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