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

By:

Yan, Haibin [aut]

Contributor(s):

Lu, Jiwen [oth]

Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Computer Science | SpringerLink Bücher | Springer eBook Collection Computer SciencePublisher: Singapore : Springer, 2017Description: Online-Ressource (X, 82 p. 33 illus., 29 illus. in color, online resource)ISBN:

9789811044847

Subject(s):

Additional physical formats: 9789811044830 | Erscheint auch als: 978-981-10-4483-0 Druck-Ausgabe | Printed edition: 9789811044830 DDC classification:

006.6
006.37

LOC classification:

TA1637-1638 TA1634
TA1637-1638
TA1634

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

Summary: 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 analysisSummary: 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

Holdings ( 0 )

No physical items for this record