| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| BCT, IEEE-BT |
2022-03-11
11:25 |
Online |
|
Synchronous Message Transmission by Moving Image QR Code Using Visible Light for Video Transmission
Yuto Kasuya, Takumi Hayashi, Koichi Uchiyama, Mikio Maeda (Kogakuin Univ.) |
We have studied real-time underwater video transmission systems from submersibles, and proposed a new method to transmit... [more] |
BCT2022-23
pp.9-12 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
14:20 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
The research of photograph automatically display the voices of animals
Takeshi Saito, Kazuo Sasaki (TUT) |
This research is aiming to develop the system to recognize and analyze the voice of animals. And specially for the purpo... [more] |
AIT2020-137
pp.293-294 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
14:55 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Estimation of camera parameters from starry photographs
Naoto Ishikawa, Yoshinori Dobashi (Hokkaido Univ.) |
Estimation of the range of the sky captured by a starry photograph is useful for classification or editing of the images... [more] |
|
| IEICE-MRIS, MMS |
2019-12-06
11:35 |
Ehime |
Ehime University |
Removing an Artifact from Images Taken by a Lensless Camera based on an Analysis of the Point Spread Function
Ryota Kawamata, Kazuyuki Tajima, Yusuke Nakamura (Hitachi) |
We have been developing a lensless camera using a Fresnel zone aperture. This technology enables a very thin device maki... [more] |
MMS2019-59
pp.65-68 |
| 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, IEICE-IE, IPSJ-AVM [detail] |
2017-08-03
10:15 |
Tokyo |
NHK Science & Technology Research Laboratories |
Color moiré reduction technique for direct-view type integral three-dimensional display
-- Study of three unit's systhesis --
Hisayuki Sasaki, Naoto Okaichi, Hayato Watanabe, Masanori Kano, Masahiro Kawakita, Tomoyuki Mishina (NHK) |
There is a problem in the integral three-dimensional (3D) display using the direct-view type display panel that color mo... [more] |
ME2017-83
pp.1-4 |
| 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, AS |
2016-03-09
13:15 |
Tokyo |
Tokyo Polytechnic Univ. |
3D effect improvement of a lenticular system with USB cameras
Kentaro Nakaniwa, Takeshi Yamaguchi, Hiroshi Yoshikawa (Nihon Univ.) |
We have developed stereoscopic portrait photography system using a lenticular method. In our previous study, we had prop... [more] |
AIT2016-93
pp.173-176 |
| AIT, IIEEJ, AS |
2016-03-09
10:40 |
Tokyo |
Tokyo Polytechnic Univ. |
Automatic Generation of 3D Building Models Considering Roof Shape
Natsumi Hasegawa, Yosuke Nakamura, Koji Mikami, Kunio Kondo (TUT) |
It costs a lot of money and time to create 3DCG models of a cluster of buildings in a residential area in order to repli... [more] |
AIT2016-114
pp.241-244 |
| HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] |
2016-02-22
11:45 |
Hokkaido |
Hokudai |
A Note on Photographed Part Classification from Scanning Electron Microphotographs of Biological Organisms
-- Classification Performance Improvement of Decision Level Fusion Based on Kernel Method --
Naoki Saito, Takahiro Ogawa (Hokkaido Univ.), Yuji Hirai (CIST), Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose an accurate classification method of photographed part from scanning electron microphotographs... [more] |
MMS2016-2 CE2016-2 HI2016-2 ME2016-35 AIT2016-2
pp.51-54 |