Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIS |
2017-06-01 11:00 |
Oita |
Housen-Sou (Beppu) |
A method to estimate blood drug concentration using a neural network model Kazuya Hirayu, Shota Tanabata (KIT), Hideaki Ori (Fukuoka Univ), Hedeaki Kawano (KIT), Yasuhiro Tuji (Toyama Univ) SIS2017-4 |
[more] |
SIS2017-4 pp.19-22 |
SIS |
2017-06-01 11:20 |
Oita |
Housen-Sou (Beppu) |
A study on distinctive acoustic features among different languages by prosody analysis Yuma Omori, Akinori Seo (Kyutech), Hideaki Orii (Fukuoka Univ), Hideaki Kawano (Kyutech) SIS2017-5 |
The speech language has both phonological information representing the content of utterance and prosodic information rep... [more] |
SIS2017-5 pp.23-27 |
SIS |
2017-06-01 15:20 |
Oita |
Housen-Sou (Beppu) |
A method of lip recognition using a convolutional neural network Kazuya Okano (Kyutech), Hideaki orii (Fukuoka Univ), Hideaki kawano (Kyutech) SIS2017-10 |
In recent years, lip reading has been used in various fields such as communication with deaf person, understanding the c... [more] |
SIS2017-10 pp.51-54 |
SIS |
2017-03-02 10:30 |
Kanagawa |
Kanagawa Inst. Tech. Yokohama Office |
A study of neural network parameters in color conversion for color blindness. Tomoki Sano (Kyushu Institute of Tech), Hideaki Orii (Fukuoka Univ), Hideaki Kawano (Kyushu Institute of Tech), Noriaki Suetake (Yamaguchi Univ) SIS2016-42 |
[more] |
SIS2016-42 pp.1-6 |
SIS |
2017-03-02 13:50 |
Kanagawa |
Kanagawa Inst. Tech. Yokohama Office |
Tactile Texture Recognition using Convolutional Neural Networks for Time-series Sensor Data Hideaki Orii, Satoshi Tsuji, Takaharu Kouda, Teruhiko Kohama (Fukuoka Univ.) SIS2016-47 |
Tactile texture is an important factor to determine to impression of an object. In this paper, we propose a novel recogn... [more] |
SIS2016-47 pp.31-34 |
SIS |
2012-03-02 13:10 |
Tokyo |
Shibuya Satellite Class, Tokyo City Univ. |
A study of obstacle detection for low vision aids in walking Yusuke Moriyama, Hideaki Orii, Hideaki Kawano, Hiroshi Maeda, Norikazu Ikoma (Kyutech) SIS2011-74 |
[more] |
SIS2011-74 pp.119-122 |
SIS |
2012-03-02 13:50 |
Tokyo |
Shibuya Satellite Class, Tokyo City Univ. |
A study on acquisition system of depth information between camera and object using QR code Masayuki Moribe, Hideaki Orii, Hideaki Kawano, Hiroshi Maeda, Norikazu Ikoma (Kyutech) SIS2011-76 |
It is difficult for low vision people to sense a depth because of blurry vision. Therefore they often feel difficulties ... [more] |
SIS2011-76 pp.129-132 |
SIS, IPSJ-AVM |
2010-09-02 11:10 |
Nagasaki |
Nagasakiken-Kinrou-Fukushi-Kaikan |
Extraction of building wall textures incorporating disparity differences in stereo images Yoshiya Fukuda, Hideaki Orii, Hideaki Kawano, Hiroshi Maeda (KIT) SIS2010-22 |
In this paper, we propose a method for extracting the texture of the building wall from an in-vehicle
camera. Assume a ... [more] |
SIS2010-22 pp.19-22 |
SIS |
2010-06-10 14:50 |
Hokkaido |
Abashiri Public Auditorium |
Decorated Character Recognition by Topological Matching with Self-Organizing Map Tsukasa Masuhara, Hideaki Orii, Hideaki Kawano, Hiroshi Maeda (Kyushu Inst. of Tech.) SIS2010-9 |
Character recognition is a classical issue which has been devoted by a lot of researchers. Making character
recognition... [more] |
SIS2010-9 pp.49-53 |
SIS |
2010-06-10 15:10 |
Hokkaido |
Abashiri Public Auditorium |
A method of automatic synthesis of panoramic images in urban scene Yoshiya Fukuda, Hideaki Orii, Hideaki Kawano, Hiroshi Maeda (Kyushu Inst. of Tech.) SIS2010-10 |
As one of 3D map generation methods, there is a method to reproduce
building facades, which are utilized as building te... [more] |
SIS2010-10 pp.55-58 |
SIS |
2010-03-05 14:30 |
Kanagawa |
Kanagawa Institute of Technology |
Image Enlargement with Lost High-frequency Components Estimation using clustered Eigenspace Hideaki Orii, Hideaki Kawano (Kyushu Inst. of Tech.), Noriaki Suetake (Yamaguchi Univ.), Hiroshi Maeda (Kyushu Inst. of Tech.) SIS2009-74 |
In general, image sharpening and image super-resolution are achieved by some kind of restoration method for high-frequen... [more] |
SIS2009-74 pp.141-144 |