| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-19
14:05 |
Online |
Online |
[Special Talk]
A Note on Discrimination of Road Surface Conditions Based on Deep Learning Using Road Images
Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we study the discrimination of road surface conditions based on deep learning using images captured by fi... [more] |
MMS2021-21 ME2021-21 AIT2021-21
pp.165-169 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-29
15:10 |
Online |
Online |
Distant pedestrian detection from nighttime NIR video by moving-region zooming
Atsuki Hiramatsu, Yusuke Kameda (TUS), Hiroshi Ikeoka (Fukuyama Univ.), Takayuki Hamamoto (TUS) |
Highly accurate pedestrian detection technology is required for functions such as automatic emergency braking, which are... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
15:00 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Strokes correspondence estimation between hand drawings using graph matching
Hayato Ikezawa, Takuya Funatomi, Hiroyuki Kubo (NAIST), Akinobu Maejima (OLM Digital, Inc./IMAGICA GROUP Inc.), Satoshi Nakamura, Yasuhiro Mukaigawa (NAIST) |
This study aims to develop a method of automatic interpolation for efficient anime production. The software has been com... [more] |
AIT2020-67
pp.69-72 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
15:10 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Unpaired Learning for Noise-free, Scale Invariant, and Interpretable Image Enhancement
Satoshi Kosugi, Toshihiko Yamasaki (Univ. of Tokyo) |
This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into ... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
16:50 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
A Note on Image Retrieval Focusing on Objects in Images
-- Improving Retrieval Performance Based on Object Recognition Using RetinaNet --
Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
Image retrieval method using a text as a query is effective because it enables users to prepare query easily. In these m... [more] |
MMS2020-49 HI2020-49 ME2020-77 AIT2020-49
pp.377-381 |
| IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] |
2019-12-05
13:55 |
Iwate |
Aiina Center |
An Circular Road Signs Extraction Method for Accelerating Object Detection System
Fang Yin, Kentaro Katayama, Eiji Yoshida (Fujitsu Lab) |
Cyber-physical system (CPS) becomes realistic with the development of sensing technology and pattern recognition technol... [more] |
|
| IST |
2018-06-27
14:10 |
Tokyo |
Tokyo Univ. Sci.-Morito-Kinenkan |
[Poster Presentation]
Low sensitivity/high sensitivity output image sensor using CTIA pixel circuit and acquisition of high DR image by output connection
Yotaro Imai, Shintaro Maekawa, Toshinori Ootaka, Takayuki Hamamoto (TUS) |
We propose a processing method for high sensitivity and high DR image acquisition by considering output characteristics ... [more] |
IST2018-39
pp.33-36 |
| ME |
2018-02-24
13:30 |
Kanagawa |
Kanto Gakuin Univ. |
Preliminary study on interactive extraction of pancreases from abdominal CT images using self-organizing map
Junmeng Han, Hotaka Takizawa, Hiroyuki Kudo (Univ. of Tsukuba) |
In this report, we propose an interactive extraction method of pancreas regions in abdominal CT images using a self-orga... [more] |
ME2018-63
pp.73-76 |
| ME, AIT, IEICE-IE [detail] |
2017-10-06
08:30 |
Nagasaki |
|
Neural network-based estimation of degree of feeling that natural objects appear in photographic images
Manami Sasaki, Koji Iwano (Tokyo City Univ.) |
Recently, it is expected that the systems for automatically adding the suitable music to a target image will be develope... [more] |
ME2017-109 AIT2017-168
pp.75-80 |
| ME, AIT, IEICE-IE [detail] |
2017-10-06
09:20 |
Nagasaki |
|
Compressive Sensing and Recovery of Binary Images Based on DCT
Yusuke Zaitsu, Koichi Ichige (YNU) |
In this paper, we present a method of compressive sensing and recovery of binary images based on Discrete Cosine Transfo... [more] |
ME2017-111 AIT2017-170
pp.87-92 |
| ME, SIP [detail] |
2016-12-05
15:10 |
Tokyo |
Waseda Univ. |
Support image training for sports
Takeo Ishii (Matsudo Orthopaedic hospital), Asato Okamura (Tsukuba Univ.), Masaki Hayashi, Ryunosuke Kurose, Yoshimitsu Aoki (Keio Univ.) |
We developed a low-effort and -time body motion analysis system utilizing home-use digital video camera. Inputting the m... [more] |
ME2016-129
pp.17-20 |
| IST |
2016-11-17
16:30 |
Tokyo |
TITECH Tamachi Campus |
[Poster Presentation]
Dynamic Photometric Stereo Method using Multi-Tap CMOS Image Sensor
Takuya Yoda, Hajime Nagahara, Rin-ichiro Taniguchi (Kyushu Univ.), Keiichiro Kagawa, Keita Yasutomi, Shoji Kawahito (Shizuoka Univ.) |
Photometric stereo enables the estimation of surface normals from images that were captured using different known lighti... [more] |
IST2016-48
pp.1-2 |
| 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 |
| AIT, IIEEJ, AS |
2016-03-09
13:15 |
Tokyo |
Tokyo Polytechnic Univ. |
A Support System for Adaptive Color Replacement by the Preference from User Collected Digital Images
Yuriko Hara (TUT), Kengo Watanabe, Izumi Uchino (Watanabe-DENKI), Akinori Ito, Naoya Tsuruta, Kunio Kondo (TUT) |
In this paper, we propose a support system of color correction and replacement from user collected digital images semi-a... [more] |
AIT2016-90
pp.163-164 |
| HI, IEICE-MVE, VRSJ, HI-SIG-VR |
2015-07-03
10:00 |
Tokyo |
Sanjo Conference Hall |
Affective Image Retrieval System based on Yes-No Questions
Saemi Choi, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) |
We propose an affective image retrieval system based on yes-no questions. Traditional image retrieval system requests us... [more] |
|
| AIT, IIEEJ, AS |
2015-03-14
14:45 |
Tokyo |
|
Multiscopic Viewer with Applications to Selective Spatiotemporal Browsing
Takahiro Sano, Issei Fujishiro (Keio Univ.) |
Due to the recent spread of low-cost and high-performance digital cameras and smart phones, an individual can easily pos... [more] |
AIT2015-41
pp.23-26 |
| ME |
2015-02-28
11:00 |
Kanagawa |
Kanto Gakuin Univ. |
A study of semi-automatic creation of music piece matching impression of image
Sae Nemoto, Yasuyuki Saito (NIT, kisarazu College) |
This paper shows to create a music piece which matches with impressions of an input color image. The picture and the mus... [more] |
ME2015-37
pp.9-12 |
| AIT, IIEEJ, AS |
2014-03-17
16:20 |
Tokyo |
|
A Fast Generation Method of Watercolor Painting Images Based on Hierarchical Poisson Disk Pre-Sampled
Shuhei Kodama, Yuki Morimoto, Tomoaki Moriya, Tokiichiro Takahashi (TDU) |
The hierarchical Poisson disk sampling technique is one of the most powerful NPR techniques to generate watercolor paint... [more] |
AIT2014-45
pp.59-62 |
| HI |
2014-03-04
10:35 |
Tokyo |
Tokyo University of Agriculture and Technology |
Image Contrast Correction Considering Characteristics of the Human Eye
Daisuke Yoshida, Yuichi Nonaka, Takeru Kisanuki (Hitachi) |
This paper introduces an algorithm and its implementation of the image visibility enhancement technology considering vis... [more] |
HI2014-28
pp.1-4 |
| IEICE-ITS, IEICE-IE, AIT, HI, ME [detail] |
2014-02-17
09:50 |
Hokkaido |
Hokkaido Univ. |
Super resolution by single image based on total variation regularization
-- Improvement of image quality by edge sharpening --
Hiroki Tsurusaki, Masashi Kameda, Prima Oky Dicky Ardiansyah (Iwate Pref. Univ.) |
In order to improve the image quality of enlarged image, the super resolution using total variation regularization has b... [more] |
|