Facial Kinship Verification : A Machine Learning Approach / by Haibin Yan, Jiwen Lu

Von:

Yan, Haibin [aut]

Mitwirkende(r):

Lu, Jiwen [oth]

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: SpringerBriefs in Computer Science | SpringerLink Bücher | Springer eBook Collection Computer ScienceVerlag: Singapore : Springer, 2017Beschreibung: Online-Ressource (X, 82 p. 33 illus., 29 illus. in color, online resource)ISBN:

9789811044847

Schlagwörter:

Andere physische Formen: 9789811044830 | Erscheint auch als: 978-981-10-4483-0 Druck-Ausgabe | Printed edition: 9789811044830 DDC-Klassifikation:

006.6
006.37

LOC-Klassifikation:

TA1637-1638 TA1634
TA1637-1638
TA1634

DOI: DOI: 10.1007/978-981-10-4484-7Online-Ressourcen:

Zusammenfassung: This book provides the first systematic study of facial kinship verification, a new research topic in biometrics. It presents three key aspects of facial kinship verification: 1) feature learning for kinship verification, 2) metric learning for kinship verification, and 3) video-based kinship verification, and reviews state-of-the-art research findings on facial kinship verification. Many of the feature-learning and metric-learning methods presented in this book can also be easily applied for other face analysis tasks, e.g., face recognition, facial expression recognition, facial age estimation and gender classification. Further, it is a valuable resource for researchers working on other computer vision and pattern recognition topics such as feature-learning-based and metric-learning-based visual analysisZusammenfassung: 1. Introduction to Facial Kinship Verification -- 2. Feature Learning for Facial Kinship Verification -- 3. Metric Learning for Facial Kinship Verification -- 4. Video-Based Facial Kinship Verification -- 5. Conclusions and Future WorkPPN: PPN: 1659069637Package identifier: Produktsigel: ZDB-2-SCS

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