Facial Makeup Transfer Combining Illumination Transfer
To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software. The makeup effects could present on the user's input image in real time, with an only single reference image. The input image and r...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8736743/ |
| _version_ | 1818323455027707904 |
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| author | Xin Jin Rui Han Ning Ning Xiaodong Li Xiaokun Zhang |
| author_facet | Xin Jin Rui Han Ning Ning Xiaodong Li Xiaokun Zhang |
| author_sort | Xin Jin |
| collection | DOAJ |
| description | To meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software. The makeup effects could present on the user's input image in real time, with an only single reference image. The input image and reference image are divided into three layers by facial feature points landmarked: facial structure layer, facial color layer, and facial detail layer. Except for the above layers are processed by different algorithms to generate output image, we also add illumination transfer, so that the illumination effect of the reference image is automatically transferred to the input image. Our approach has the following three advantages: 1) Black or dark and white facial makeup could be effectively transferred by introducing illumination transfer; 2) Efficiently transfer facial makeup within seconds compared to those methods based on deep learning frameworks, and; 3) Reference images with the air-bangs could transfer makeup perfectly. |
| first_indexed | 2024-12-13T11:12:57Z |
| format | Article |
| id | doaj.art-1c4d0494916c4b3cb74b69bf910629f7 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-13T11:12:57Z |
| publishDate | 2019-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-1c4d0494916c4b3cb74b69bf910629f72022-12-21T23:48:41ZengIEEEIEEE Access2169-35362019-01-017809288093610.1109/ACCESS.2019.29231168736743Facial Makeup Transfer Combining Illumination TransferXin Jin0https://orcid.org/0000-0003-3873-1653Rui Han1https://orcid.org/0000-0001-5451-6676Ning Ning2Xiaodong Li3Xiaokun Zhang4Department of Cyber Security, Beijing Electronic Science and Technology Institute, Beijing, ChinaDepartment of Cyber Security, Beijing Electronic Science and Technology Institute, Beijing, ChinaDepartment of Cyber Security, Beijing Electronic Science and Technology Institute, Beijing, ChinaDepartment of Cyber Security, Beijing Electronic Science and Technology Institute, Beijing, ChinaDepartment of Cyber Security, Beijing Electronic Science and Technology Institute, Beijing, ChinaTo meet the women appearance needs, we present a novel virtual experience approach of facial makeup transfer, developed into windows platform application software. The makeup effects could present on the user's input image in real time, with an only single reference image. The input image and reference image are divided into three layers by facial feature points landmarked: facial structure layer, facial color layer, and facial detail layer. Except for the above layers are processed by different algorithms to generate output image, we also add illumination transfer, so that the illumination effect of the reference image is automatically transferred to the input image. Our approach has the following three advantages: 1) Black or dark and white facial makeup could be effectively transferred by introducing illumination transfer; 2) Efficiently transfer facial makeup within seconds compared to those methods based on deep learning frameworks, and; 3) Reference images with the air-bangs could transfer makeup perfectly.https://ieeexplore.ieee.org/document/8736743/Facial makeup transfersingle reference imageillumination transferfacial parsingefficient and effective |
| spellingShingle | Xin Jin Rui Han Ning Ning Xiaodong Li Xiaokun Zhang Facial Makeup Transfer Combining Illumination Transfer IEEE Access Facial makeup transfer single reference image illumination transfer facial parsing efficient and effective |
| title | Facial Makeup Transfer Combining Illumination Transfer |
| title_full | Facial Makeup Transfer Combining Illumination Transfer |
| title_fullStr | Facial Makeup Transfer Combining Illumination Transfer |
| title_full_unstemmed | Facial Makeup Transfer Combining Illumination Transfer |
| title_short | Facial Makeup Transfer Combining Illumination Transfer |
| title_sort | facial makeup transfer combining illumination transfer |
| topic | Facial makeup transfer single reference image illumination transfer facial parsing efficient and effective |
| url | https://ieeexplore.ieee.org/document/8736743/ |
| work_keys_str_mv | AT xinjin facialmakeuptransfercombiningilluminationtransfer AT ruihan facialmakeuptransfercombiningilluminationtransfer AT ningning facialmakeuptransfercombiningilluminationtransfer AT xiaodongli facialmakeuptransfercombiningilluminationtransfer AT xiaokunzhang facialmakeuptransfercombiningilluminationtransfer |