ENGLISH

Facial Kinship Verification: A Machine Learning Approach

By Haibin Yan , Jiwen Lu (auth.)

Book information

Publisher
Springer Singapore
Year
2017
ISBN
978-981-10-4483-0, 978-981-10-4484-7
DOI
10.1007/978-981-10-4484-7
Language
english
Format
PDF
Filesize
3 MB (3171263 bytes)
Series
SpringerBriefs in Computer Science
Edition
1
Pages
X, 82\91
Time added
2017-06-25 01:07:36
Image Processing and Computer Vision;Pattern Recog

Description

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.

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