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Heterogeneous Facial Analysis and Synthesis / by Yi Li, Huaibo Huang, Ran He, Tieniu Tan.
SpringerLink Books Computer Science (2011-2024) Available online
SpringerLink Books Computer Science (2011-2024)- Format:
- Book
- Author/Creator:
- Li, Yi, author.
- Huang, Huaibo, author.
- He, Ran, author.
- Tan, Tieniu, author.
- Series:
- Computer Science (SpringerNature-11645)
- SpringerBriefs in computer science 2191-5768
- SpringerBriefs in Computer Science, 2191-5768
- Language:
- English
- Subjects (All):
- Optical data processing.
- Pattern perception.
- Machine learning.
- Image Processing and Computer Vision.
- Pattern Recognition.
- Machine Learning.
- Local Subjects:
- Image Processing and Computer Vision.
- Pattern Recognition.
- Machine Learning.
- Physical Description:
- 1 online resource (X, 97 pages) : 35 illustrations, 33 illustrations in color.
- Edition:
- First edition 2020.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Singapore : Imprint: Springer, 2020.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-13-9148-4
- 9789811391484
- Access Restriction:
- Restricted for use by site license.
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