• 人工智慧在流行趨勢研究的應用AI application in Fashion Trend(英文版)
  • 點閱:220
  • 作者: 顏志晃(Chih-Huang Yen, Ph. D.)著
  • 出版社:元華文創
  • 出版年:2020[民109]
  • ISBN:978-957-711-188-3 ; 957-711-188-2
  • 格式:EPUB,JPG
  • 版次:初版
  • 附註:內容為英文

Consumer behavior is complicated. In the cosmetic market, personal intuition and fashion trends for colour selection are guidelines for consumers. A systematic method for female facial skin-color classification and an application in the makeup market are proposed in this study. In this paper, face recognition with a large number of images is first discussed. Then, an innovative method for colour capturing at selected points is presented and complexion-aggregated analysis is performed. This innovative method is an extension of face-recognition theory. Images in RGB format are converted to Lab-space format during data collection and then Fuzzy C-means theory is utilized to cluster and group the data. The results are classified and grouped in Lab value and RGB index. Two programs are created. The first program, “FaceRGB”, captures colour automatically from images. The second program, “ColorFCM”, clusters and groups the skin-color information. The results can be used to assist an expert system in the selection of customized colours during makeup and new-product development. In the study case, with more than 10,000 Asian women photos, FaceRGB for automatic skin color capture, obtained skin color data and then divided by ColorFCM eighteen group results. In the end, the study combined with Merck's colour trend forecast, connected the clustering skin colour with six Merck's idea skin colour to do the pair, the results will be applied to cosmetic, and more clearly realize the value of research and the future development of the application.

顏志晃 博士
Chih-Huang Yen, Ph. D.
台灣成功大學 工業設計研究所 博士

中國閩南師範大學 藝術學院 副教授
台灣高雄師範大學 兼任助理教授
台灣台鉅集團 設計總監
法商伯納集團 格尚公司 開發設計經理
About the Author
Dr. Chih-Huang Yen is an associated professor in the Art school of Minnan Normal University, Zhangzhou, Fujian, China. He is a Ph.D. in the Department of Industrial Design at the National Cheng Kung University, Tainan, Taiwan, Republic of China. He was a design director in Tair Jiuh Enterprise., co. (Taiwan) for cosmetic industry. He spent about 11 years in SAGA company (France) as a R&D manager did watch & jewelry design and development. His major research interests include application of fuzzy set theory on product design, and gray theory to product design, color planning for product design, and design management.

  • 封面(第cover.xhtml頁)
  • 版權(第copyright.xhtml頁)
  • ABOUT THE AUTHOR作者簡介(第preface.xhtml頁)
  • PREFACE作者序(第preface01.xhtml頁)
  • SUMMARY(第f-matter.xhtml頁)
  • ACKNOWLEDGEMENTS(第acknowledgment.xhtml頁)
  • CHAPTER 1 INTRODUCTION(第ch_01.xhtml頁)
    • 1.1 Related research(第x01-01.xhtml頁)
    • 1.2 Market Assessment from Merck(第x01-02.xhtml頁)
    • 1.3 Outline of this study(第x01-03.xhtml頁)
  • CHAPTER 2 LITERATURE REVIEW(第ch_02.xhtml頁)
    • 2.1 The choice for colour space(第x02-01.xhtml頁)
    • 2.2 Taguchi Methods(第x02-02.xhtml頁)
    • 2.3 Fuzzy C-means(第x02-03.xhtml頁)
    • 2.4 Facial recognition system(第x02-04.xhtml頁)
    • 3.1 6 points colour detection(第x03-01.xhtml頁)
    • 3.2 Verification for 6 points to detect facial colour(第x03-02.xhtml頁)
  • CHAPTER 4 CASE STUDY(第ch_04.xhtml頁)
    • 4.1 FaceRGB(第x04-01.xhtml頁)
    • 4.2 ColorFCM(第x04-02.xhtml頁)
  • CHAPTER 5 RESULTS & DISCUSSION(第ch_05.xhtml頁)
    • 5.1 Experimental verification(第x05-01.xhtml頁)
    • 5.2 RGB & YCC conversions(第x05-02.xhtml頁)
    • 5.3 Training samples for FaceRGB(第x05-03.xhtml頁)
    • 5.4 RGB with a large quantity of images(第x05-04.xhtml頁)
    • 5.5 ColorFCM result by Fuzzy C-means(第x05-05.xhtml頁)
  • CHAPTER 6 APPLICATION(第ch_06.xhtml頁)
    • 6.1 Connection between the colour clusters and Merck makeup trends(第x06-01.xhtml頁)
    • 6.2 For personal application(第x06-02.xhtml頁)
    • 6.3 For trend applications(第x06-03.xhtml頁)
    • 6.4 Conclusion(第x06-04.xhtml頁)
  • REFERENCES(第reference.xhtml頁)
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