声明
Abstract
Table of contents
List of figures
List of tables
Chapter 1 Introduction
1．1 Research background and significance
1．2 Research status
1．3 The main contents of this work
1．4 Thesis structure
Chapter 2 Subjective analysis of face beauty
2．1 Introduction
2．2 Data collection
2．3 Data processing
2．4 Face beauty rating
2．4．1 Face beauty level setting
2．4．2 Subjective score collection
2．5 Dataset score analysis
2．6 Summary
Chapter 3 Genders and regions classification model
3．1 Introduction
3．2 Facial feature extraction
3．2．1 Introduction to facial feature extraction method
3．2．2 Introduction to"face_recognition"function
3．2．3 Feature extraction process
3．3 MLP based classifier
3．4 Summary of this chapter
Chapter 4 Face beauty prediction model
4．1 Introduction
4．2 Residual network
4．3 CRNet
4．4 Facial beauty evaluation metrics
4．4．1 Pearson correlation model
4．4．2 Average absolute error model(MAE)
4．4．3 Mean square error model(RMSE)
4．5 Summary of this chapter
Chapter 5 Experiments
5．1 Introduction
5．2 Experimental platform
5．3 Genders and regions classification results and analysis
5．4 Face beauty prediction results and analysis
5．5 Summary
Chapter 6 Conclusioas and perspectives
References
Appendix
Acknowledgements
