| Presentation | 2022-03-10 High Speed Eye detector for Iris Recognition Yuka Ogino, Takahiro Toizumi, Masato Tsukada, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the imaging system for iris recognition, it is necessary to crop the right eye and the left eye for input to the iris recognition system from the partial face image including both eyes captured at high frame rate and high resolution. In this paper, we propose a fast eye detection method based on Fully-Convolutional Siamese Networks, which is a fast tracking method. The proposed method extracts features from an average image of one eye and a partial image of the face to be detected using a CNN framework, and generates a heatmap by calculating the spatial cosine similarity between the features. By applying a loss function using CosFace during training, we were able to distinguish the right eye from the left eye with high accuracy even in a light network. Experiment show that our method is faster and more accurate than conventional detection methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | iris recognition / eye detection |
| Paper # | IMQ2021-42,IE2021-104,MVE2021-71 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |
| Conference Information | |
| Committee | CQ / IMQ / MVE / IE |
|---|---|
| Conference Date | 2022/3/9(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online (Zoom) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Media of five senses, Multimedia, Media experience, Picture codinge, Image media quality, Network,quality and reliability, etc |
| Chair | Jun Okamoto(NTT) / Kenya Uomori(Osaka Univ.) / Masayuki Ihara(RIKEN) / Kazuya Kodama(NII) |
| Vice Chair | Takefumi Hiraguri(Nippon Inst. of Tech.) / Gou Hasegawa(Tohoku Univ.) / Mitsuru Maeda(Canon) / Kiyoshi Kiyokawa(NAIST) / Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) |
| Secretary | Takefumi Hiraguri(NTT) / Gou Hasegawa(Ritsumeikan Univ.) / Mitsuru Maeda(Nagoya Univ.) / Kiyoshi Kiyokawa(NTT) / Hiroyuki Bandoh(Oosaka Inst. of Tech.) / Toshihiko Yamazaki(NTT) |
| Assistant | Yoshiaki Nishikawa(NEC) / Ryoichi Kataoka(KDDI Research) / Kimiko Kawashima(NTT) / Masato Tsukada(NEC) / Takashi Yamazoe(Seikei Univ.) / Naoya Isoyama(NAIST) / Takenori Hara(DNP) / Mitsuhiro Goto(NTT) / Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Communication Quality / Technical Committee on Image Media Quality / Technical Committee on Media Experience and Virtual Environment / Technical Committee on Image Engineering |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | High Speed Eye detector for Iris Recognition |
| Sub Title (in English) | |
| Keyword(1) | iris recognition |
| Keyword(2) | eye detection |
| 1st Author's Name | Yuka Ogino |
| 1st Author's Affiliation | NEC Corporation(NEC) |
| 2nd Author's Name | Takahiro Toizumi |
| 2nd Author's Affiliation | NEC Corporation(NEC) |
| 3rd Author's Name | Masato Tsukada |
| 3rd Author's Affiliation | NEC Corporation(NEC) |
| Date | 2022-03-10 |
| Paper # | IMQ2021-42,IE2021-104,MVE2021-71 |
| Volume (vol) | vol.121 |
| Number (no) | IMQ-420,IE-422,MVE-423 |
| Page | pp.pp.167-170(IMQ), pp.167-170(IE), pp.167-170(MVE), |
| #Pages | 4 |
| Date of Issue | 2022-03-02 (IMQ, IE, MVE) |