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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 70  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SR 2024-05-21
10:15
Kagoshima Yokacenter (Kagoshima)
(Primary: On-site, Secondary: Online)
[Short Paper] An Implementation of Radio Propagation Graph Representation Learning in Multi-hop Path Situations
Shimon Takagi, Katsuya Suto (UEC)
(To be available after the conference date) [more]
MI, MICT 2023-11-14
13:00
Fukuoka   Brain Disease Classification Based on Brain MRI Images Using 3D-CNN
Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center) MICT2023-29 MI2023-22
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] MICT2023-29 MI2023-22
pp.15-20
WIT 2023-06-16
15:25
Okinawa Okinawa Industry Support Center
(Primary: On-site, Secondary: Online)
Proposal and Development of Spatial Haptic Guidance Presentation System for Visually Impaired People.
Tadahiro Sakai, Jyunji Ohnishi, Masatsugu Sakajiri (NTUT), Takahiro Miura (AIST) WIT2023-4
A spatial haptic guidance presentation system that aims to enable visually impaired people to quickly grasp three-dimens... [more] WIT2023-4
pp.18-23
SR 2023-05-11
13:00
Hokkaido Center of lifelong learning Kiran (Higashi Muroran)
(Primary: On-site, Secondary: Online)
Radio environment estimation in altitude by using the combination of observed data and 3D map
Shota Yamada, Takeo Fujii (UEC) SR2023-5
In Beyond 5G / 6G, which is being researched and developed as the next-generation mobile communication system, non-terre... [more] SR2023-5
pp.27-32
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
09:20
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
3D Point Cloud based Object Recognition and Auto True-Value System Construction for Autonomous Driving
Bin Zhang, Congzhi Ren, Hun-ok Lim (KU) PRMU2022-100 IBISML2022-107
In this paper, an object recognition system based on 3D point cloud information is proposed and an automatic true value ... [more] PRMU2022-100 IBISML2022-107
pp.217-219
HPB
(2nd)
2022-09-22
13:29
Tokyo   Visualization of inoor spatial-enviroment measured by ultra-wideband positioning system
Yoichi Kamoshita, Mayu Yosikawa (NITTC), Hiroshi Kanasugi (LocationMind), Shinichiro Mito (NITTC)
Recently, a spatial-environment measurement is required for optimizing both work environments and energy saving. We demo... [more]
NS, SR, RCS, SeMI, RCC
(Joint)
2022-07-14
15:20
Ishikawa The Kanazawa Theatre + Online
(Primary: On-site, Secondary: Online)
A Study on Communication Performance Evaluation of Optimal IRS Placement Determined Through Ray Tracing
Ei Tanaka, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SR2022-33
For the 6G era of networks, expected to come by the 2030s, high-frequency bands is considered as a medium capable of inc... [more] SR2022-33
pp.67-70
SIS, IPSJ-AVM 2022-06-09
13:20
Fukuoka KIT(Wakamatsu Campus)
(Primary: On-site, Secondary: Online)
Quantification of the danger of arbitrary walking scenes based on outdoor walking collision simulation within a 3DCG map space
Yukihiro Matsunaga (Kyutech), Masato Matsuoka (Kyushu Univ.), Hiromu Tanaka, Hideaki Kawano (Kyutech) SIS2022-2
One of the problems that visually impaired people face when they go out is an accident caused by collision with an obsta... [more] SIS2022-2
pp.7-11
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
11:00
Kumamoto Kumamoto University Kurokami Campus
(Primary: On-site, Secondary: Online)
Accurate Image Matching with 3D Map using its Structure
Yohei Hanaoka, Suwichaya Suwanwimolkul, Satoshi Komorita (KDDI Research) SIP2022-20 BioX2022-20 IE2022-20 MI2022-20
To estimate camera pose using 3D mesh data such as a 3D city model, it is necessary to accurately match 3D mesh data, in... [more] SIP2022-20 BioX2022-20 IE2022-20 MI2022-20
pp.103-108
RCS, SR, SRW
(Joint)
2022-03-04
17:15
Online Online A Study on Detecting Object Location Information in Indoor Environment Using Fixed 3D LiDAR
Mizuki Tanaka, Seiichi Sampei, Takumi Takahashi (Osaka Univ.) RCS2021-295
This paper proposes a 3D map creation scheme for detecting objects in indoor environments using 3D LiDARs. In the propos... [more] RCS2021-295
pp.218-222
MI 2022-01-27
16:39
Online Online [Short Paper] Multiple Organ Detection from CT Images Based on Deep Learning -- Fusion of 2D-CNN and Transformer --
Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-89
The automatic recognition of multiple organs in 3D CT images and detecting organ positions are required for computer-aid... [more] MI2021-89
pp.190-193
SP, WIT, IPSJ-SLP, ASJ-H [detail] 2021-10-19
09:10
Online Online Sign language generation tool using 3D motion data
Teppei Miura, Shinji Sako (NIT) SP2021-24 WIT2021-17
Machine learnings play an important role in sign language recognition. However, sign language datasets are shortage the ... [more] SP2021-24 WIT2021-17
pp.1-5
MI 2021-05-17
15:10
Online Online [Short Paper] Fundamental study of automatic segmentation of skeletal muscle regions on whole body CT images based on a 3D DeepCNN
Kota Nozaki, Xiangong Zhou (Gifu Univ.), Naoki Kamiya (Aichi Prefectual Univ.), Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-7
Amyotrophic lateral sclerosis (ALS) is an intractable disease in which voluntary muscles atrophy gradully due to degener... [more] MI2021-7
pp.20-22
MVE, IMQ, IE, CQ
(Joint) [detail]
2021-03-03
09:20
Online Online Study of Environment Recognition and 3D Map Generation Using SegNet for Night Forest Monitoring Using an Environmental Monitoring Robot
Takeo Kaneko (WASEDA Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atuo Takanishi (WASEDA Univ.) IMQ2020-29 IE2020-69 MVE2020-61
Towards the actualization of autonomous robots that monitor forests, around which various kinds of damages caused by wil... [more] IMQ2020-29 IE2020-69 MVE2020-61
pp.91-96
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] MI2019-113
pp.203-205
MICT, MI 2018-11-06
11:00
Hyogo University of Hyogo Investigation on the condition of using adjacent reconstruction in visual bronchoscope tracking
Cheng Wang, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Inst. Univ.), Hirotoshi Honma (Sapporo Kosei General Hosp.), Hirotsugu Takabatake (Sapporo Minami Sanjo Hosp.), Masaki Mori (Sapporo Kosei General Hosp.), Hiroshi Natori (Keiwakai Nishioka Hosp.), Kensaku Mori (Nagoya Univ.) MICT2018-43 MI2018-43
This paper reports the condition of using adjacent reconstruction during SLAM-based visual bronchoscope tracking. Visual... [more] MICT2018-43 MI2018-43
pp.27-32
SAT, RCS
(Joint)
2018-08-09
12:45
Iwate Iwate University [Invited Lecture] Precise UAV Position and Attitude Estimation using Multiple GNSS Receivers for 3D Mapping
Taro Suzuki, Yoshiharu Amano (Waseda Univ.) SAT2018-31 RCS2018-134
Direct 3D mapping using a small UAV equipped with a laser scanner is required for many remote sensing applications. In d... [more] SAT2018-31 RCS2018-134
pp.17-20(SAT), pp.19-22(RCS)
PRMU, CNR 2018-02-20
09:30
Wakayama   Detection of outdoor cables from point-cloud measured by MMS -- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) --
Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT) PRMU2017-159 CNR2017-37
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map-
ping Systems hav... [more]
PRMU2017-159 CNR2017-37
pp.83-87
PRMU, MVE, IPSJ-CVIM [detail] 2018-01-18
17:15
Osaka   Markerless Dynamic Projection Mapping using High-speed 6-DoF Tracking
Satoshi Tabata, Hikaru Amano, Yoshihiro Watanabe, Masatoshi Ishikawa (Univ. of Tokyo) PRMU2017-130 MVE2017-51
In recent years, various dynamic projection mapping have been achieved.
However, in order to acquire the absolute posi... [more]
PRMU2017-130 MVE2017-51
pp.147-152
MI, MICT 2017-11-06
10:00
Kagawa Sunport Hall Takamatsu Automated Initialization of 2D-3D Registration of Rib Cage from Chest Radiography using Convolutional Neural Network
Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka, Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MICT2017-27 MI2017-49
The difficulties in automation of 2D-3D registration are two-folds: initialization and failure detection. In this paper,... [more] MICT2017-27 MI2017-49
pp.5-8
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