TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Eyeglass Remover Network based on a Synthetic Image Dataset |
| 영문제목(English Title) |
Eyeglass Remover Network based on a Synthetic Image Dataset |
| 저자(Author) |
Shinjin Kang
Teasung Hahn
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| 원문수록처(Citation) |
VOL 15 NO. 4 PP. 1486 ~ 1501 (2021. 04) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
The removal of accessories from the face is one of the essential pre-processing stages in the field of face recognition. However, despite its importance, a robust solution has not yet been provided. This paper proposes a network and dataset construction methodology to remove only the glasses from facial images effectively. To obtain an image with the glasses removed from an image with glasses by the supervised learning method, a network that converts them and a set of paired data for training is required. To this end, we created a large number of synthetic images of glasses being worn using facial attribute transformation networks. We adopted the conditional GAN (cGAN) frameworks for training. The trained network converts the in-the-wild face image with glasses into an image without glasses and operates stably even in situations wherein the faces are of diverse races and ages and having different styles of glasses.
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| 키워드(Keyword) |
Image-to-Image Translation
Generative Adversarial Network
Eyeglass Remover
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| 파일첨부 |
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