Heterogeneous Facial Analysis and Synthesis

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2020-06-24

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Description


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.

Pages
97 pages
Collection
SpringerBriefs in Computer Science
Parution
2020-06-24
Marque
Springer
EAN papier
9789811391477
EAN PDF
9789811391484

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
4229 Ko
Prix
52,74 €
EAN EPUB
9789811391484

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
26829 Ko
Prix
52,74 €