1 option
Facial Beauty Analysis : Computational Aesthetics / by David Zhang, Yuan Xie, Tianhao Peng, Baoyuan Wu.
Springer Nature - Springer Computer Science eBooks 2026 English International Available online
View online- Format:
- Book
- Author/Creator:
- Zhang, David.
- Series:
- Computer Science Series
- Language:
- English
- Subjects (All):
- Computer vision.
- Biometric identification.
- Pattern recognition systems.
- Image processing.
- Machine learning.
- Computer Vision.
- Biometrics.
- Automated Pattern Recognition.
- Image Processing.
- Machine Learning.
- Local Subjects:
- Computer Vision.
- Biometrics.
- Automated Pattern Recognition.
- Image Processing.
- Machine Learning.
- Physical Description:
- 1 online resource (320 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- Facial beauty is an intriguing and multifaceted subject that has captivated human interest, crossing cultural and scientific boundaries for centuries. In today’s digital age, understanding facial beauty is no longer just an art but a sophisticated science, the analysis and enhancement of facial beauty leverage advanced technologies such as machine learning, computer vision, and biometrics. This book, “Facial Beauty Analysis: Computational Aesthetics,” is based on our research and aims to offer an in-depth exploration of the latest advancements on both 2D and 3D facial beauty analysis. By combining principles from computer vision, pattern recognition, machine learning, and deep learning, this book provides comprehensive insights into landmark detection, feature extraction, beauty prediction, and facial attractiveness enhancement. It introduces cutting-edge innovations such as geometric prior guided hybrid deep neural networks, GAN-based facial beautification, and 3D facial beauty analysis, ensuring readers are equipped with the latest advancements. The content is thoughtfully crafted to empower readers with both foundational concepts and the latest tools required to stay ahead in this rapidly evolving domain. Targeted toward researchers, professionals, and graduate students, “Facial Beauty Analysis: Computational Aesthetics,” aims to systematically cover both 2D and 3D facial beauty analysis, providing comprehensive insights into feature extraction, beauty prediction, and facial enhancement. This book offers both foundational knowledge and cutting-edge methodologies to advance the field of facial beauty analysis. Whether you’re exploring the fundamentals or seeking to apply the latest technologies, this book is a valuable asset for anyone dedicated to advancing the field of facial beauty analysis.
- Contents:
- Part I. Introduction
- Chapter 1. Overview
- Chapter 2. Current State of Facial Beauty Research
- Part II. 2D Facial Beauty Analysis
- Chapter 3. Features Extraction Methods in 2D Images
- Chapter 4. Efficient Facial Landmark Model Design
- Chapter 5. 2D Facial Beauty Prediction
- Chapter 6. 2D Facial Beauty Enhancement
- Part III. 3D Facial Beauty Analysis
- Chapter 7. Fundamentals of 3D Facial Beauty Analysis
- Chapter 8. Advanced Facial Reconstruction Techniques for 3D Beauty Analysis
- Chapter 9. Facial Attractiveness Prediction based on 3D Geometric
- Chapter 10. 3D Facial Beauty Computation and Enhancement Methods
- Part IV. Application and Future Work
- Chapter 11. A Facial Beauty Analysis System
- Chapter 12. Book Review and Future.
- ISBN:
- 981-9561-44-2
- 9789819561445
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.