Facial Kinship Verification: A Machine Learning Approach

di Haibin Yan (Autore)

Jiwen Lu (Autore)

Springer Verlag, Singapore, 2017

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 analysis. 

• Autore: Haibin Yan, Jiwen Lu
• Editore: Springer Verlag, Singapore
• Collana: SpringerBriefs in Computer Science
• Anno: 2017
• Rilegatura: Paperback / softback
• Pagine: 82 p.
• Dimensioni: 235 x 155 mm
• EAN: 9789811044830

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