Digital makeup using machine learning algorithms

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 techniq...

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Main Author: Cheng, Boya
Other Authors: He Ying
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/148372
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1483722021-05-01T12:49:26Z Digital makeup using machine learning algorithms Cheng, Boya He Ying School of Computer Science and Engineering YHe@ntu.edu.sg Engineering::Computer science and engineering 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. Bachelor of Engineering (Computer Science) 2021-05-01T12:49:25Z 2021-05-01T12:49:25Z 2021 Final Year Project (FYP) Cheng, B. (2021). Digital makeup using machine learning algorithms. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148372 https://hdl.handle.net/10356/148372 en SCSE20-0009 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering
spellingShingle Engineering::Computer science and engineering
Cheng, Boya
Digital makeup using machine learning algorithms
description 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.
author2 He Ying
author_facet He Ying
Cheng, Boya
format Final Year Project
author Cheng, Boya
author_sort Cheng, Boya
title Digital makeup using machine learning algorithms
title_short Digital makeup using machine learning algorithms
title_full Digital makeup using machine learning algorithms
title_fullStr Digital makeup using machine learning algorithms
title_full_unstemmed Digital makeup using machine learning algorithms
title_sort digital makeup using machine learning algorithms
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148372
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