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https://hdl.handle.net/10356/148372
Title: | Digital makeup using machine learning algorithms | Authors: | Cheng, Boya | Keywords: | Engineering::Computer science and engineering | Issue Date: | 2021 | Publisher: | Nanyang Technological University | Source: | Cheng, B. (2021). Digital makeup using machine learning algorithms. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148372 | Project: | SCSE20-0009 | Abstract: | With the explosive development of social media, people are more willing to sharing their portrait photo showing their look, makeup, hairstyle etc. To aid the users quickly and efficiently create a new content, we provide this system to auto apply “makeup” to the photos using machine learning techniques. This project includes research over color transfer algorithm, comparison between different facial feature parsing methods and integration component for digital makeup with quality-control. With the example presented in our report, we can clearly observe the makeup change from the source to the target style. Furthermore, with some limitation spotted during experiment, we propose some feasible future development for the community as a reference. | URI: | https://hdl.handle.net/10356/148372 | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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Cheng_Boya_FYP_Report.pdf Restricted Access | 5.9 MB | Adobe PDF | View/Open |
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