Personal color analysis using color space algorithm

Author:

Withurat Tanakorn,Sripen Wannapa,Pattanasukkul Juntanee,Wongsim Witsarut,Jeeratanyasakul Suchawalee,Siriborvornratanakul ThitiratORCID

Publisher

Springer Science and Business Media LLC

Reference13 articles.

1. Afifi M, Price B, Cohen S, Brown MS (2019) When color constancy goes wrong: correcting improperly white-balanced images. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1535–1544. https://doi.org/10.1109/CVPR.2019.00163

2. Cassidy TD (2007) Personal colour analysis, consumer colour preferences and colour forecasting for the fashion and textile industries. Society of Dyers and Colourists. J Int Colour Assoc 1(1):1–14. https://aic-color.org/resources/Documents/jaic_v1_05.pdf

3. Chang Y, Mukai N (2022) Color feature based dominant color extraction. IEEE Access 10:93055–93061. https://doi.org/10.1109/ACCESS.2022.3202632

4. Daily Post (2018) How to analyze your personal color by yourself—Korea Beauty Trend [Photograph]. https://www.habkorea.net/how-to-analyze-your-personal-color-by-yourself-korea-beauty-trend/. Accessed 01 Jun 2023

5. King DE (2009) Dlib-ml: a machine learning toolkit. J Mach Learn Res 10:1755–1758

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1. Discussion on the use of traditional art colors in modern visual communication design;Applied Mathematics and Nonlinear Sciences;2024-01-01

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