Deep Learning for Biometrics (eBook)
XXXI, 312 Seiten
Springer International Publishing (Verlag)
978-3-319-61657-5 (ISBN)
Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video.
Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University.
Dr. Bir Bhanu is Bourns Presidential Chair, Distinguished Professor of Electrical and Computer Engineering and the Director of the Center for Research in Intelligent Systems at the University of California at Riverside, USA. Some of his other Springer publications include the titles Video Bioinformatics, Distributed Video Sensor Networks, and Human Recognition at a Distance in Video. Dr. Ajay Kumar is an Associate Professor in the Department of Computing at the Hong Kong Polytechnic University.
Part I: Deep Learning for Face BiometricsThe Functional Neuroanatomy of Face Processing: Insights from Neuroimaging and Implications for Deep LearningKalanit Grill-Spector, Kendrick Kay and Kevin S. WeinerReal-Time Face Identification via Multi-Convolutional Neural Network and Boosted Hashing ForestYuri Vizilter, Vladimir Gorbatsevich, Andrey Vorotnikov and Nikita KostromovCMS-RCNN: Contextual Multi-Scale Region-Based CNN for Unconstrained Face DetectionChenchen Zhu, Yutong Zheng, Khoa Luu and Marios SavvidesPart II: Deep Learning for Fingerprint, Fingervein and Iris RecognitionLatent Fingerprint Image Segmentation Using Deep Neural NetworksJude Ezeobiejesi and Bir BhanuFinger Vein Identification Using Convolutional Neural Network and Supervised Discrete HashingCihui Xie and Ajay KumarIris Segmentation Using Fully Convolutional Encoder-Decoder NetworksEhsaneddin Jalilian and Andreas UhlPart III: Deep Learning for Soft BiometricsTwo-Stream CNNs for Gesture-Based Verification and Identification: Learning User StyleJonathan Wu, Jiawei Chen, Prakash Ishwar and Janusz KonradDeepGender2: A Generative Approach Toward Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Attention Shift Convolutional Neural Networks (PTAS-CNN) and Deep Convolutional Generative Adversarial Networks (DCGAN)Felix Juefei-Xu, Eshan Verma and Marios SavvidesGender Classification from NIR Iris Images Using Deep LearningJuan Tapia and Carlos AravenaDeep Learning for Tattoo RecognitionXing Di and Vishal M. PatelPart IV: Deep Learning for Biometric Security and ProtectionLearning Representations for Cryptographic Hash Based Face Template ProtectionRohit Kumar Pandey, Yingbo Zhou, Bhargava Urala Kota and Venu GovindarajuDeep Triplet Embedding Representations for Liveness DetectionFederico Pala and Bir Bhanu
Erscheint lt. Verlag | 1.8.2017 |
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Reihe/Serie | Advances in Computer Vision and Pattern Recognition |
Zusatzinfo | XXXI, 312 p. 117 illus., 96 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik |
Mathematik / Informatik ► Mathematik | |
Schlagworte | Alexnet • Anti-Spoofing • biometrics • CNN • Deep learning • FACE • fingerprint • gait • Human Surveillance • Iris • RBM • Template Protection |
ISBN-10 | 3-319-61657-9 / 3319616579 |
ISBN-13 | 978-3-319-61657-5 / 9783319616575 |
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