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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2021
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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 |
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Engineering::Computer science and engineering Cheng, Boya Digital makeup using machine learning algorithms |
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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. |
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He Ying |
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He Ying Cheng, Boya |
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Final Year Project |
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Cheng, Boya |
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Cheng, Boya |
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Digital makeup using machine learning algorithms |
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Digital makeup using machine learning algorithms |
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Digital makeup using machine learning algorithms |
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Digital makeup using machine learning algorithms |
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Digital makeup using machine learning algorithms |
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digital makeup using machine learning algorithms |
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Nanyang Technological University |
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2021 |
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https://hdl.handle.net/10356/148372 |
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