Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SIP |
2016-08-25 15:30 |
Chiba |
Chiba Institute of Technology, Tsudanuma Campus |
[Invited Talk]
Applications of Deep learning for image diagnosis Hayaru Shouno (UEC) SIP2016-76 |
The ``deep learning'' is the 3rd generation neural network technology, which is exhibiting its characteristics in the bi... [more] |
SIP2016-76 pp.23-24 |
PRMU, CNR |
2016-02-22 09:30 |
Fukuoka |
|
Proposal of Image Recognition Engine for Cloud Robotics Yuji Yamauchi, Yu Kato, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.) PRMU2015-149 CNR2015-50 |
As the workforce continues to shrink due to the aging population, robots are expected to be utilized for the care of per... [more] |
PRMU2015-149 CNR2015-50 pp.91-96 |
MI |
2016-01-20 11:05 |
Okinawa |
Bunka Tenbusu Kan |
[Fellow Memorial Lecture]
Towards integrative research of image analysis and medicine Yoshinobu Sato (NAIST) MI2015-118 |
In medical applications of image analysis, initial motivation and idea are typically provided by clinical needs. The eng... [more] |
MI2015-118 p.221 |
DC |
2015-12-18 16:10 |
Niigata |
Kurieito Mulakami (Murakami City) |
The initial study of optimal placement in emergency stop device of human coexistence robot Toshinori Suzuki, Hideo Nakamura, Sei Takahashi (Nihon Univ.), Hiroyasu Ikeda, Syoken Shimizu (National Institute of Occupational Safety and Health) DC2015-82 |
Emergency stop device for human-operated must be quickly and reliably operated. However, speed and certainty are inverse... [more] |
DC2015-82 pp.49-52 |
DE |
2015-09-25 15:10 |
Kanagawa |
|
A Study on Hierarchical Food Classification Hokuto Kagaya, Shota Horiguchi (The Univ. of Tokyo), Sosuke Amano (foo.log), Kiyoharu Aizawa (The Univ. of Tokyo), Makoto Ogawa (foo.log) DE2015-30 |
Automatic food recognition or classification is very challenging task. One of the reason is that the number of food item... [more] |
DE2015-30 pp.59-64 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2015-09-15 13:15 |
Ehime |
|
[Invited Talk]
A large-sky survey and statistical computational cosmology Naoki Yoshida (The Univ. of Tokyo) PRMU2015-86 IBISML2015-46 |
We explore the frontier of statistical computaional cosmology using the large imaging data delivered by Subaru Hyper-Sup... [more] |
PRMU2015-86 IBISML2015-46 p.141 |
SSS |
2015-05-21 16:20 |
Tokyo |
|
Overall Measurement of Emergency Stop Characteristics for Robot Coexisting with Human Being Toshinori Suzuki, Hideo Nakamura, Sei Takahashi (Nihon Univ.), Hiroyasu Ikeda, Shoken Shimizu (JNIOSH) SSS2015-6 |
Emergency stop device for human-operated must be quickly and reliably operated. However, speed and certainty are inverse... [more] |
SSS2015-6 pp.23-26 |
NC, MBE |
2015-03-16 10:55 |
Tokyo |
Tamagawa University |
Feature Analysis for Diffuse Lung Disease with Deep Convolutional Neural Network Satoshi Suzuki, Hayaru Shouno (UEC), Shoji Kido (Yamaguchi Univ.) MBE2014-163 NC2014-114 |
The computer aided diagnosis (CAD) system is desired to develop for supporing physicians to diagnose the diffuse lung di... [more] |
MBE2014-163 NC2014-114 pp.259-264 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2015-03-03 10:40 |
Tokyo |
Seikei Univ. |
A wrinkle detection and support system for ironing beginners Kimie Suzuki, Kaori Fujinami (Tokyo Univ. of Agriculture and Tech.) IMQ2014-30 IE2014-91 MVE2014-78 |
In this paper, we propose methods of wrinkle detection and presentation of wrinkle position.We identified 15 effective f... [more] |
IMQ2014-30 IE2014-91 MVE2014-78 pp.21-26 |
MBE, BioX |
2014-09-12 10:20 |
Nagano |
Shinshu University |
A study on distinction between voluntary blinks and spontaneous blinks and its application to user interface. Yuki Kobayashi, Masami Hashimoto, Mizue Kayama, Makoto Otani (Shinshu Univ.) BioX2014-10 MBE2014-33 |
It is necessary to distinguish between voluntary blinking and spontaneous blinking to realize an interface using the eye... [more] |
BioX2014-10 MBE2014-33 pp.1-4 |
PRMU, CNR |
2014-02-14 10:40 |
Fukuoka |
|
[Special Talk]
Convex Optimization for Applications to Image Analysis and Processing
-- With a focus on effective utilization of the nuclear norm -- Shunsuke Ono, Masao Yamagishi, Isao Yamada (Tokyo Inst. of Tech.) PRMU2013-158 CNR2013-66 |
Remarkable advances in convex optimization have enabled us to handle large-scale (constrained) convex optimization probl... [more] |
PRMU2013-158 CNR2013-66 p.147 |
IA |
2014-01-30 14:50 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Traffic Observation System and its Outcome on Snowfall Conditions Takuya Suzuki, Hiroshi Yamamoto (Nagaoka Univ. of Tech.), Yuichi Inagawa (NCT), Katsuyuki Yamazaki (Nagaoka Univ. of Tech.) IA2013-71 |
Public agencies performe traffic observation by fixed cameras and sensors.
However, we cannot use these traffic observa... [more] |
IA2013-71 pp.19-24 |
SANE |
2013-08-23 16:25 |
Niigata |
Niigata University Igarashi campus |
Classification of Vegetation and Waters Areas using Correlation Coefficients Yuta Watanabe, Kazutomo Yamamoto, Sang-Eun Park, Yoshio Yamaguchi, Hiroyoshi Yamada (Niigata Univ.) SANE2013-52 |
For disaster monitoring on a global scale, such as Tsunami, there is a method of target detection and classificati... [more] |
SANE2013-52 pp.43-47 |
PRMU, MI, IE |
2013-05-25 09:30 |
Aichi |
|
Computation of Normal Positions of Organs Ken Nobehara, Atsushi Imiya (Chiba Univ.) IE2013-20 PRMU2013-13 MI2013-13 |
In this paper, we develop an algorithm to establish the normal positions
of organs in a human torso.
In computational ... [more] |
IE2013-20 PRMU2013-13 MI2013-13 pp.67-72 |
PRMU |
2013-03-15 09:30 |
Tokyo |
|
Extraction method of seaweeds in fishing ground area of Laminaria with the preprocessing based on wavelet denoising Takeshi Hagisawa, Koichiro Enomoto (Future Univ. Hakodate), Masashi Toda (Kumamoto Univ.), Masakatu Tamura (Habomai Fisheries Cooperative), Masafumi Kimura (Nemuro Fisheries Extension Office), Sakae Takeda (Rishiri Fisheries Extension Office), Takeshi Nagasaki (Future Univ. Hakodate) PRMU2012-208 |
The goal of this study is to develop an automated system for measuring the amount of fishery resources from images taken... [more] |
PRMU2012-208 pp.163-168 |
MI |
2013-01-24 14:25 |
Okinawa |
Bunka Tenbusu Kan |
[Fellow Memorial Lecture]
Integrated analysis of several views of medical images for largely deformed organs Yasuyo Kita (AIST) MI2012-83 |
In the autumn of 2012, the author had the honor of being given IEICE Fellow for contributions to
image understanding an... [more] |
MI2012-83 pp.109-112 |
PRMU, MI, IE |
2011-05-20 10:00 |
Aichi |
|
Auto Recognition of food images using SPIN feature and Food-Log system Wazumi Minami, Youhei Tsurugai, Xian-Hua Han, Yen-Wei Chen (Ritsumeikan Univ.) IE2011-25 PRMU2011-17 MI2011-17 |
Recently, with the increasing of unhealthy diets and the attracted attention for healthy life, how to manage the dietary... [more] |
IE2011-25 PRMU2011-17 MI2011-17 pp.93-98 |
SANE |
2010-08-25 14:55 |
Niigata |
Niigata University |
Classification of Vegetation and Oriented Urban Areas using Eigenvalue Osamu Shimotoso, Yoshio Yamaguchi, Hiroyoshi Yamada, Takuya Kodama (Niigata Univ) SANE2010-64 |
The microwave remote sensing with radar attracts attention as a technique for understanding a global environmental chang... [more] |
SANE2010-64 pp.23-26 |
PRMU, IE, MI |
2010-05-14 13:00 |
Aichi |
Chubu Univ. |
[Fellow Memorial Lecture]
A Personal View of Computer Vision-Based Motion Analysis in the Last Three Decades Masanobu Yamamoto (Niigata Univ.) IE2010-38 PRMU2010-26 MI2010-26 |
Researches on motion analysis have apparently started at around 1980. This paper, in particular, addresses the temporal-... [more] |
IE2010-38 PRMU2010-26 MI2010-26 pp.137-138 |
PRMU, HIP |
2010-03-16 12:20 |
Kagoshima |
Kagoshima Univ. |
Improvement of Accuracy in Bayesian Hidden Markov Model Approach for Sports Event Detection Tomohiro Yazaki (Waseda Univ.), Toshie Misu (NHK), Yohei Nakada, Shigeru Motoi, Go Kobayashi, Takashi Matsumoto (Waseda Univ.), Nobuyuki Yagi (NHK) PRMU2009-301 HIP2009-186 |
The problem of detecting the occurrence of target events in a given data sequence can be found in many fields , such as ... [more] |
PRMU2009-301 HIP2009-186 pp.401-406 |