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