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Facial kinship verification = a mach...

Yan, Haibin.

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Facial kinship verification = a machine learning approach /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Facial kinship verification/ by Haibin Yan, Jiwen Lu.
其他題名:	a machine learning approach /
作者:	Yan, Haibin.
其他作者:	Lu, Jiwen.
出版者:	Singapore :Springer Singapore : : 2017.,
面頁冊數:	x, 82 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Biometric identification. -
電子資源:	http://dx.doi.org/10.1007/978-981-10-4484-7
ISBN:	9789811044847

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

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

729691
Biometric identification.

LC Class. No.: TK7882.B56

Dewey Class. No.: 006.4

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