Abstract | ||
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It is difficult to choose the right combination of make-up to reflect each individual taste since there are many products for each part of your face such as your cheek and mouth. Here we propose a make-up support system based on your choice of facial color. This system will present a make-up simulation image based on your favorite facial image and a list of make-up products to make that happen from the user's favorite facial image and the user's own facial image. From the user's evaluation, this system will suggest a color simulation image and make-up products that will bring you closer to your choice of facial image color and we have confirmed that this will help you choose the right combination of make-up products that will reflect your taste. |
Year | DOI | Venue |
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2017 | 10.1007/978-3-319-66715-7_52 | Lecture Notes in Computer Science |
Keywords | Field | DocType |
Make-up,Face image processing,Reflecting preferences | Computer vision,Support system,Computer science,Image based,Artificial intelligence | Conference |
Volume | ISSN | Citations |
10507 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rina Kotake | 1 | 0 | 0.68 |
Junichi Hoshino | 2 | 181 | 47.34 |