| Description |
1 online resource (xv, 275 pages) : illustrations (some color) |
| Series |
Signals and communication technology |
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Signals and communication technology.
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| Contents |
Introduction / Lawrence B. Wolff -- Pose and Illumination invariant face recognition using video sequences / Amit K. Roy-Chowdhury, Yilei Xu -- Recognizing faces across age progression / Narayanan Ramanathan, Rama Chellappa -- Quality assessment and restoration of face images in long range/high zoom video / Yi Yao, Besma Abidi, Mongi Abidi -- Core faces: a shift-invariant principal component analysis (PCA) correlation filter bank for illumination-tolerant face recognition / Marios Savvidos, B.V.K. Vijaya Kumar, Pradeep K. Khosla -- Towards person authentication by fusing visual and thermal face biometrics / Ognjen Arandjelović, Riad Hammound, Roberto Cipolla -- Multispectral face recognition: fusion of visual imagery with physiological information / Pradeep Buddharaju, Ioannis Pavlidis -- Feature selection for improved face recognition in multisensor images / Satyanadh Gundimada, Vijayan Asari -- Multimodal face and speaker identification for mobile devices / Timothy J. Hazen [and others] -- Quo vadis: 3D face and ear recognition? / L. Kakadiaris [and others] -- Human recognition at a distance in video by integrating face profile and gait / Xiaoli Zhou, Bir Bhanu, Ju Han -- Fusion techniques in multibiometric systems / Arun Ross, Anil K. Jain -- Performance prediction methodology for multibiometric systems / Natalia A. Schmid, Joseph A. O'Sullivan |
| Summary |
This 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 |
| Bibliography |
Includes bibliographical references ([247]-271) and index |
| Notes |
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. http://purl.oclc.org/DLF/benchrepro0212 MiAaHDL |
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Print version record |
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digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL |
| In |
Springer e-books |
| Subject |
Human face recognition (Computer science)
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Biometric identification.
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Biometric Identification
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COMPUTERS -- Optical Data Processing.
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COMPUTERS -- Computer Vision & Pattern Recognition.
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Biometric identification.
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Human face recognition (Computer science)
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Informatique.
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Biometric identification
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Human face recognition (Computer science)
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Biometrie.
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Gelaat.
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Beeldverwerking.
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Wiskundige modellen.
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| Form |
Electronic book
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| Author |
Hammoud, Riad I.
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Abidi, Besma R.
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Abidi, Mongi A.
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| ISBN |
9783540493464 |
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3540493468 |
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3540493441 |
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9783540493440 |
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6610817499 |
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9786610817498 |
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