Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 15:16 |
Tokyo |
Tokyo University of Technology |
A Fundamental Study on 3D CG Image Quality Assessment in Vision & Language Based on Stable Diffusion Norifumi Kawabata (Kanazawa Gakuin Univ.) |
GPT-4, which is a multimodal large-scale language model, was released on March 14, 2023. GPT-4 is equipped with Transfor... [more] |
AIT2024-115 pp.288-291 |
IEICE-ITS, IEICE-IE, ME, AIT, MMS [detail] |
2024-02-19 14:30 |
Hokkaido |
Hokkaido Univ. |
Wavelet Multi-Resolution Analysis of Color Laparoscopic Image before and after Contrast Enhancement Norifumi Kawabata (Kanazawa Gakuin Univ.) |
It is important to evaluate image processing and recognition using machine learning, deep learning, and neural network b... [more] |
MMS2024-12 ME2024-28 AIT2024-12 pp.61-66 |
MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21 11:00 |
Hokkaido |
Hokkaido Univ. |
A note on text prompt tuning in cross-modal image retrieval for a specific database Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
With the development of storage devices and the Internet, the number of users creating personal image databases has incr... [more] |
MMS2023-3 ME2023-23 AIT2023-3 pp.11-15 |
AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-21 15:35 |
Online |
online |
Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT. Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) |
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] |
|
IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18 15:40 |
Online |
Online |
Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] |
MMS2021-11 ME2021-11 AIT2021-11 pp.53-58 |
IIEEJ, AIT |
2020-09-17 15:54 |
Online |
|
Multi-view image generation from RGB-D data for dairy cow identification Kazuki Wakida, Ryosuke Furuta, Yukinobu Taniguchi (TUS) |
In order to reduce human cost and monitor health conditions of dairy cows, we previously proposed a method for individua... [more] |
AIT2020-168 pp.23-26 |
IEICE-LOIS, IEICE-EMM, IEICE-IE, IEE-CMN, ME, IPSJ-AVM [detail] |
2020-09-01 17:20 |
Online |
Online |
Study on automatic label masking method for plant specimen images using CTPN Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) |
In this study, the image processing required for registration of the Haginiwa plant specimen image database in c-arc. Si... [more] |
|
AIT, IIEEJ |
2016-08-26 15:20 |
Hokkaido |
FUTURE UNIVERSITY HAKODATE |
Automated retinal blood vessel extraction based on black-hat transformation and high-order local autocorrelation Yuji Hatanaka, Kazuki Samo, Kazunori Ogohara (Univ. Shiga Prefecture), Chisako Muramatsu (Gifu Univ.), Wataru Sunayama (Univ. Shiga Prefecture), Hiroshi Fujita (Gifu Univ.) |
An automated blood vessel extraction using high-order local autocorrelation (HLAC) on retinal images is presented. The b... [more] |
AIT2016-144 pp.27-30 |
ME, CE, IPSJ-AVM, IEICE-IE [detail] |
2016-08-08 13:30 |
Fukuoka |
|
Multi-stage identification of GGO candidate regions using DCNN and SVM Kazuki Hirayama, Joo Kooi Tan, Hyoungseop Kim (KIT), Takatoshi Aoki (UOEH), Shoji Kido (YU) |
Recently, the development of CAD (Computer Aided Diagnosis) system for the purpose of reducing the burden to the physici... [more] |
|
AIT, IIEEJ, AS |
2013-03-15 16:50 |
Kanagawa |
Keio Univ. |
Recognition of Fingerspelling in Japanese Sign Language based on Nail Detection and Wrist Position Kohei Miura, Youngha Chang, Nobuhiko Mukai (Tokyo City Univ.) |
We have recognized fingerspellings in Japanese sign language from hand images. We can discriminate the front and back of... [more] |
AIT2013-97 pp.199-202 |
IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2013-02-18 13:20 |
Hokkaido |
Hokkaido Univ. |
Localization Using Mobile Phone and Image Matching
-- Improving Precision by Combination of Two Types of Image Matching Method -- Hiroshi Ito, Atsushi Koike, Hitomi Murakami (Seikei Univ.) |
We propose a new localization technique using mobile phone. The suggested technique performs matching of still image and... [more] |
|
ME, IST |
2012-06-11 16:00 |
Ishikawa |
Kanazawa Univ. |
Quantification of blurred image Hiroyuki Hase (Fukui univ.) |
Human visual sense has two aspects in our feeling for blurred image, that is, one is the amount of blur depending on obj... [more] |
IST2012-34 ME2012-85 pp.21-24 |
3DMT |
2011-03-15 11:10 |
Tokyo |
Tokyo Univ. of Tech. |
Detection of key input by three dimension hand posture estimation. Hayato Furukawa, Hotaka Watarai, Youhei Toyohara, Kiyoshi Hoshino (Tsukuba Univ.) |
If the user can input information by hand movement, it enables more complex work in 3D virtual space.
We propose a syst... [more] |
3DIT2011-15 pp.59-62 |
ME, AIT |
2010-05-24 14:45 |
Kyoto |
National Institute of Information and Communications Technology |
Development of Image Retrieval System Using Multiple Key Images Kazuki Yasukawa, Toshikazu Kato (Chuo University) |
Many image search systems, designed to search on only one sample image, share the following 3 problems: (A) Appropriate ... [more] |
ME2010-89 AIT2010-81 pp.15-18 |
HI |
2009-03-18 15:50 |
Tokyo |
Tokyo Institute of Technology |
3D hand posture estimation using relative positions of fingernails as first stage screening Ryousuke Sano, Motomasa Tomida, Kiyosi Hoshino (Univ. Tsukuba) |
In this paper, we constructed 3D hand posture estimation system which searches the most similar image at each time, not ... [more] |
HI2009-73 pp.21-24 |