| 言語種別 | 英語 |
|---|---|
| 発行・発表の年月 | 2021/01 |
| 形態種別 | 会議論文 |
| 査読 | 査読あり |
| 標題 | Facial Feature Exaggeration System for Caricature Generation |
| 執筆形態 | 共著 |
| 掲載誌名 | Proc. of SPIE Vol.11766, International Workshop on Advanced Imaging Technology (IWAIT) 2021 |
| 掲載区分 | 国外 |
| 巻・号・頁 | 11766 |
| 総ページ数 | 4 |
| 著者・共著者 | Takafumi Tanaka, Tomohiro Fukuhara, Koichi Yamada, Hironobu Abe and Hidetaka Masuda |
| 概要 | A facial caricature is an art form that captures the facial features of a person and exaggerates those features. Caricatures are commonly used to convey humor and sarcasm, as gifts, souvenirs, and social networking avatars. There are attempts to generate facial caricature, but these attempts have just focused on transforming the style into artistic style and do not exaggerate facial features.
We focus on the exaggeration of facial features and propose a facial feature exaggeration system for generating portraits. Feature detection by comparing facial landmarks detected by the facial landmark detector with the mean face, and feature exaggeration by transforming the facial landmarks further away from the mean face. We also experiment with a new exaggeration method that combines normalization to exaggerate facial features. The results show that features can be exaggerated without collapsing the shape. |
| DOI | 10.1117/12.2591001 |
| PermalinkURL | https://doi.org/10.1117/12.2591001 |
| researchmap用URL | https://doi.org/10.1117/12.2591001 |