Facial Kinship Verification Facial Kinship Verification
SpringerBriefs in Computer Science

Facial Kinship Verification

A Machine Learning Approach

    • 42,99 €
    • 42,99 €

Publisher 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.

GENRE
Computing & Internet
RELEASED
2017
31 May
LANGUAGE
EN
English
LENGTH
92
Pages
PUBLISHER
Springer Nature Singapore
SIZE
2.8
MB

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