國立虎尾科技大學 |

Facial kinship verification = a machine learning approach /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Facial kinship verification/ by Haibin Yan, Jiwen Lu.
Reminder of title:	a machine learning approach /
Author:	Yan, Haibin.
other author:	Lu, Jiwen.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	x, 82 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
Subject:	Biometric identification. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-4484-7
ISBN:	9789811044847$q(electronic bk.)

Facial kinship verification = a machine learning approach /
Yan, Haibin.

Facial kinship verificationa machine learning approach /[electronic resource] :by Haibin Yan, Jiwen Lu. - Singapore :Springer Singapore :2017. - x, 82 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

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 Work.

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.

ISBN: 9789811044847$q(electronic bk.)

Standard No.: 10.1007/978-981-10-4484-7doiSubjects--Topical Terms:

598553
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.4

Facial kinship verification = a machine learning approach /
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505 0 $a 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 Work.
520 $a 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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