Please use this identifier to cite or link to this item: 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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