Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/148372
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dc.contributor.authorCheng, Boyaen_US
dc.date.accessioned2021-05-01T12:49:25Z-
dc.date.available2021-05-01T12:49:25Z-
dc.date.issued2021-
dc.identifier.citationCheng, B. (2021). Digital makeup using machine learning algorithms. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148372en_US
dc.identifier.urihttps://hdl.handle.net/10356/148372-
dc.description.abstractWith 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE20-0009en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleDigital makeup using machine learning algorithmsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorHe Yingen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailYHe@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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