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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 11:00 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
[Invited Talk]
Iris Recognition and its Prospects Takahiro Toizumi (NEC)  IMQ2023-63 IE2023-118 MVE2023-92 |
[more] | IMQ2023-63 IE2023-118 MVE2023-92 pp.276-280 |
| IMQ | 2023-12-22 14:40 |
Toyama | University of Toyama | Improving Low-Light Image Recognition via Image-adaptive Learnable Module Seitaro Ono (Univ of Tsukuba), Yuka Ogino, Takahiro Toizumi, Atsushi Ito (NEC), Masato Tsukada (Univ. of Tsukuba) IMQ2023-10 |
[more] | IMQ2023-10 pp.4-9 |
| BioX, SIP, IE, ITE-IST, ITE-ME [detail] | 2023-05-18 13:25 |
Mie | Sansui Hall, Mie University (Primary: On-site, Secondary: Online) |
[Invited Talk]
NEC's multimodal authentication terminal recognizing face and irises together Ryoma Oami, Toshiyuki Sashihara, Masato Sasaki, Ryuichi Akashi, Yuka Ogino, Yuho Shoji, Takahiro Toizumi, Kazuyuki Sakurai, Atsushi Ito (NEC) SIP2023-2 BioX2023-2 IE2023-2 |
This paper introduces NEC's multimodal authentication terminal that simultaneously captures and authenticates a face and... [more] | SIP2023-2 BioX2023-2 IE2023-2 pp.2-5 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-16 15:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Iris Image Quality Assessment with Degradation Scores for Recognition Ryuichi Akashi, Yuho Shoji, Takahiro Toizumi, Atsushi Ito (NEC) IMQ2022-57 IE2022-134 MVE2022-87 |
In this paper, we propose an iris image quality assessment method to quantify the influence of each type of image degrad... [more] | IMQ2022-57 IE2022-134 MVE2022-87 pp.182-187 |
| CNR, BioX | 2023-03-02 11:00 |
Oita | (Primary: On-site, Secondary: Online) |
A Study on Training Methods for Iris Recognition that Can Control Balance of Learning between Network and Loss Function Rikuto Otsuka (UEC), Yuho Shoji, Yuka Ogino, Takahiro Toizumi (NEC), Masatsugu Ichino (UEC) BioX2022-72 CNR2022-38 |
In this paper, we propose a training method for iris recognition by deep learning that focuses on training weight parame... [more] | BioX2022-72 CNR2022-38 pp.59-64 |
| PRMU | 2022-09-14 10:15 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Evaluation of Loss Functions for Low-Resolution Iris Recognition Using Deep Learning Rikuto Otsuka, Tsubasa Bora (UEC), Yuho Shoji, Yuka Ogino, Takahiro Toizumi (NEC), Ichino Masatsugu (UEC) PRMU2022-11 |
In this paper, we report the evaluation results of loss functions for low-resolution iris recognition using deep learnin... [more] | PRMU2022-11 pp.7-12 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-10 12:10 |
Online | Online (Zoom) | High Speed Eye detector for Iris Recognition Yuka Ogino, Takahiro Toizumi, Masato Tsukada (NEC) IMQ2021-42 IE2021-104 MVE2021-71 |
In the imaging system for iris recognition, it is necessary to crop the right eye and the left eye for input to the iris... [more] | IMQ2021-42 IE2021-104 MVE2021-71 pp.167-170 |
| PRMU | 2021-12-16 11:00 |
Online | Online | Low-Resolution Iris Recognition with Image Super-Resolution for arbitrary magnification Tsubasa Bora (UEC), Takahiro Toizumi, Yuho Shoji, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-26 |
A low-resolution iris image reduces iris recognition accuracy. Some conventional researches tackle low-resolution iris r... [more] | PRMU2021-26 pp.13-18 |
| PRMU | 2021-08-26 16:00 |
Online | Online | A Study of Low-Resolution Iris Biometrics using Single Image Super-Resolution Tsubasa Bora, Daisuke Uenoyama (UEC), Takahiro Toizumi, Yuka Ogino, Masato Tsukada (NEC), Masatsugu Ichino (UEC) PRMU2021-14 |
It requires a high-quality iris image in general, which means that subject must look into the camera, which is highly in... [more] | PRMU2021-14 pp.42-47 |
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