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This book explores key advancements in computerized facial beauty analysis, focusing on data-driven research and quantitative experiments. It aims to enhance practical facial beauty analysis by proposing more reliable and stable facial features, along with new models, methods, algorithms, and a beautification system. The text evaluates previous rules and models for facial beauty using computationally efficient mathematical approaches, particularly through large-scale database experiments. The first section provides an overview of facial beauty analysis, while the second presents foundational facial beauty features. The third section discusses hypotheses related to facial beauty, and the fourth defines data-driven analysis models. The authors conclude by detailing the implementation of their new facial beauty analysis system. Targeted at researchers, professionals, and postgraduate students in facial beauty analysis, computer vision, human-machine interfaces, pattern recognition, and biometrics, the content is also beneficial for those in interdisciplinary fields. The insights and methodologies offered are valuable for researchers, while the system design and implementation serve as practical models for engineers and practitioners.
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Computer Models for Facial Beauty Analysis, David Zhang
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- Année de publication
- 2018
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