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Heterogeneous facial analysis and sy...

Li, Yi.

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Heterogeneous facial analysis and synthesis

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Heterogeneous facial analysis and synthesis/ by Yi Li ... [et al.].
其他作者:	Li, Yi.
出版者:	Singapore :Springer Singapore : : 2020.,
面頁冊數:	x, 97 p. :ill., digital ;24 cm.
內容註:	1. Introduction -- 2. Foundation -- 3. Unconditional Image Generation -- 4. Cross-spectral hallucination -- 5. Cosmetic Transfer -- 6. Face Super Resolution -- 7. Face Rotation -- 8. Expression Synthesis -- 9. Face Completion -- 10. Suggestions.
Contained By:	Springer eBooks
標題:	Human face recognition (Computer science) -
電子資源:	https://doi.org/10.1007/978-981-13-9148-4
ISBN:	9789811391484

Heterogeneous facial analysis and synthesis
Heterogeneous facial analysis and synthesis[electronic resource] /by Yi Li ... [et al.]. - Singapore :Springer Singapore :2020. - x, 97 p. :ill., digital ;24 cm. - SpringerBriefs in computer science,2191-5768. - SpringerBriefs in computer science..

1. Introduction -- 2. Foundation -- 3. Unconditional Image Generation -- 4. Cross-spectral hallucination -- 5. Cosmetic Transfer -- 6. Face Super Resolution -- 7. Face Rotation -- 8. Expression Synthesis -- 9. Face Completion -- 10. Suggestions.

This book presents a comprehensive review of heterogeneous face analysis and synthesis, ranging from the theoretical and technical foundations to various hot and emerging applications, such as cosmetic transfer, cross-spectral hallucination and face rotation. Deep generative models have been at the forefront of research on artificial intelligence in recent years and have enhanced many heterogeneous face analysis tasks. Not only has there been a constantly growing flow of related research papers, but there have also been substantial advances in real-world applications. Bringing these together, this book describes both the fundamentals and applications of heterogeneous face analysis and synthesis. Moreover, it discusses the strengths and weaknesses of related methods and outlines future trends. Offering a rich blend of theory and practice, the book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks.

ISBN: 9789811391484

Standard No.: 10.1007/978-981-13-9148-4doiSubjects--Topical Terms:

704445
Human face recognition (Computer science)

LC Class. No.: TA1653

Dewey Class. No.: 006.4

Heterogeneous facial analysis and synthesis
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520 $a This book presents a comprehensive review of heterogeneous face analysis and synthesis, ranging from the theoretical and technical foundations to various hot and emerging applications, such as cosmetic transfer, cross-spectral hallucination and face rotation. Deep generative models have been at the forefront of research on artificial intelligence in recent years and have enhanced many heterogeneous face analysis tasks. Not only has there been a constantly growing flow of related research papers, but there have also been substantial advances in real-world applications. Bringing these together, this book describes both the fundamentals and applications of heterogeneous face analysis and synthesis. Moreover, it discusses the strengths and weaknesses of related methods and outlines future trends. Offering a rich blend of theory and practice, the book represents a valuable resource for students, researchers and practitioners who need to construct face analysis systems with deep generative networks.
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