AI Application in Fashion Trend（英文版）

PREFACE
SUMMARY
ACKNOWLEDGEMENTS
LIST OF SYMBOLS AND ABBREVIATIONS
CHAPTER 1 INTRODUCTION
1.1 Related research
1.2 Market Assessment from Merck
1.3 Outline of this study

CHAPTER 2 LITERATURE REVIEW
2.1 The choice for colour space
2.1.1 RGB colour model
2.1.2 CIELAB colour model
2.1.3 RGB & CIELAB conversions
2.2 Taguchi Methods
2.2.1 Basic concept
2.2.2 Properties of an orthogonal array
2.2.3 Assumptions of the Taguchi method
2.2.4 Designing an experiment
2.3 Fuzzy C-means
2.4 Facial recognition system

CHAPTER 3 IMPLEMENTATION METHOD
3.1 6 points colour detection
3.1.1 Hypothesis _ Captured colour from 6 points
3.1.2 Taguchi method finds optimization
3.2 Verification for 6 points to detect facial colour
3.2.1 Spectrometer Application
3.2.2 Test Design
3.2.3 Test comparison of FaceRGB and FOS (Fiber of spectrometer)

CHAPTER 4 CASE STUDY
4.1 FaceRGB
4.1.1 Outliers
4.1.2 FaceRGB operation
4.2 ColorFCM
4.2.1 Expectation Maximization
4.2.2 E-step (Expectation step)
4.2.3M-step (Maximization)
4.2.4 K-means++
4.2.5 ColorFCM implementation

CHAPTER 5 RESULTS & DISCUSSION
5.1 Experimental verification
5.2 RGB & YCbCr conversions
5.3 Training samples for FaceRGB
5.4 RGB with a large quantity of images
5.5 ColorFCM result by Fuzzy C-means

CHAPTER 6 APPLICATION
6.1 Connection between the colour clusters and Merck makeup trends
6.2 For personal application
6.3 For trend applications
6.4 Conclusion

REFERENCES