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Heterogeneous facial analysis and sy...

Li, Yi.

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Heterogeneous facial analysis and synthesis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Heterogeneous facial analysis and synthesis/ by Yi Li ... [et al.].
other author:	Li, Yi.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	x, 97 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Human face recognition (Computer science) -
Online resource:	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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245 0 0 $a Heterogeneous facial analysis and synthesis $h [electronic resource] / $c by Yi Li ... [et al.].
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a x, 97 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5768
505 0 $a 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.
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.
650 0 $a Human face recognition (Computer science) $3 704445
650 1 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Machine Learning. $3 3382522
700 1 $a Li, Yi. $3 911053
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950 $a Computer Science (Springer-11645)