| Presentation | 2021-03-02 Visual place recognition from eye reflection Yuki Ohshima, Kyosuke Maeda, Yusuke Edamoto, Atsushi Nakazawa, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The cornea in the human eye reflects incoming environmental light, which means we can obtain information about the surrounding environment from the corneal reflection in facial images. In recent years, as the quality of consumer cameras increases, this has caused privacy concerns in terms of identifying the people around the subject or where the photo is taken. This paper investigates the security risk of eye corneal reflection images: specifically, visual place recognition from eye reflection images. First, we constructed two datasets containing pairs of scene and corneal reflection images. We developed several visual place recognition algorithms, including CNN-based image descriptors featuring a naive Siamese network and AFD-Net combined with entire image feature representations including VLAD and NetVLAD, and compared the results. We found that AFD-Net+VLAD performed the best and was able to accurately determine the scene in 73.08% of the top-five candidate scenes. These results demonstrate the potential to estimate the location at which a facial picture was taken. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Corneal Reflection / Computer Vision / Deep Learning / Image Recognition / Biometrics / Privacy / Security |
| Paper # | BioX2020-48,CNR2020-21 |
| Date of Issue | 2021-02-23 (BioX, CNR) |
| Conference Information | |
| Committee | BioX / CNR |
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| Conference Date | 2021/3/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Akira Otsuka(AIST) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Takahiro Aoki(Fujitsu Labs.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Takahiro Aoki(SECOM) / Masatsugu Ichino(KDDI Research) / Masayuki Kanbara(Shibaura Inst. of Tech.) / Yoshihiko Murakawa(Panasonic) |
| Assistant | Emiko Sano(MitsubishiElectric) / Akihiro Hayasaka(NEC) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Biometrics / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Visual place recognition from eye reflection |
| Sub Title (in English) | |
| Keyword(1) | Corneal Reflection |
| Keyword(2) | Computer Vision |
| Keyword(3) | Deep Learning |
| Keyword(4) | Image Recognition |
| Keyword(5) | Biometrics |
| Keyword(6) | Privacy |
| Keyword(7) | Security |
| 1st Author's Name | Yuki Ohshima |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 2nd Author's Name | Kyosuke Maeda |
| 2nd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 3rd Author's Name | Yusuke Edamoto |
| 3rd Author's Affiliation | Kyoto University(Kyoto Univ.) |
| 4th Author's Name | Atsushi Nakazawa |
| 4th Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2021-03-02 |
| Paper # | BioX2020-48,CNR2020-21 |
| Volume (vol) | vol.120 |
| Number (no) | BioX-393,CNR-394 |
| Page | pp.pp.44-49(BioX), pp.44-49(CNR), |
| #Pages | 6 |
| Date of Issue | 2021-02-23 (BioX, CNR) |