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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:10 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A proposal of fast and robust method for point cloud registration using graph matching Shiori Maki, Kenji Kanai, Jiro Katto (Waseda Univ.)  IMQ2023-69 IE2023-124 MVE2023-98 |
In recent years, LiDAR and RGBD cameras have been widely used to capture 3D spaces by point clouds. In order to update s... [more] | IMQ2023-69 IE2023-124 MVE2023-98 pp.307-312 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:30 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A Point Cloud Downsampling Method Considering Local Features for 3D Object Classification Ryota Sugimoto, Kenji Kanai, Shiori Maki, Jiro Katto (Waseda Univ.) IMQ2023-70 IE2023-125 MVE2023-99 |
In recent years, use of point cloud data has been considered for 3D spatial recognition. To reduce processing load cause... [more] | IMQ2023-70 IE2023-125 MVE2023-99 pp.313-318 |
| IA | 2023-09-22 13:10 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of Construction Method of Machine Learning Model for Behavior Estimation of Elderly People based on Sensor Fusion around LiDAR Keigo Shimatani, Hiroshi Yamamoto (Ritsumeikan Univ) IA2023-26 |
In recent years, population is aging rapidly in Japan, and the shortage of caregivers in the welfare field is a serious ... [more] | IA2023-26 pp.95-100 |
| RECONF | 2023-09-15 14:40 |
Tokyo | Tokyo University of Agriculture and Technology Koganei campus (Primary: On-site, Secondary: Online) |
On the FPGA Implementation of a Lightweight Neural Network for Point Clouds Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) RECONF2023-32 |
(To be available after the conference date) [more] | RECONF2023-32 pp.58-63 |
| SANE | 2023-05-23 15:40 |
Kanagawa | Information Technology R & D Center, MITSUBISHI Electric Corp. (Primary: On-site, Secondary: Online) |
Radar Cross-Section of Point Source Groups Envisaging Chaff Clouds Using Near-Field to Far-Field Transformation Hirokazu Kobayashi (Electromagnetic Wave System Lab.), Yousuke Aoi, Hirohisa Oda (SOGO) SANE2023-13 |
A theoretical study for the radar cross sections (RCS) of chaff clouds is discussed using a software code that incorpora... [more] | SANE2023-13 pp.72-77 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-15 13:40 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
Performance Evaluations of Point Cloud Streaming Considering Perceptual Quality Yumeka Chujo, Yusuke Tagashira, Yuiko Harada, Kenji Kanai, Jiro Katto (Waseda Univ.) CQ2022-87 |
A point cloud streaming based on MPEG-Dynamic Adaptive Streaming over HTTP (DASH) is expected to realize highly immersiv... [more] | CQ2022-87 pp.43-48 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 10:05 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
High Accuracy Alignment of 3D Point Clouds Obtained from Multiple View Point Images for Automatic Wire Harness Placement Environments Erika Hata, Eiji Fukuzawa, Jun Ohya (Waseda Univ.) PRMU2022-103 IBISML2022-110 |
In automatic wire harness routing environments, we are exploring methods for generating 3D maps with high accuracies by ... [more] | PRMU2022-103 IBISML2022-110 pp.232-237 |
| IE | 2023-02-02 15:00 |
Tokyo | NII (Primary: On-site, Secondary: Online) |
[Invited Talk]
A Study on Background Filling for the Inter-patch Area of the Texture Image in V-PCC Encoder Shohei Adachi (Waseda Univ.), Yoshitaka Kidani, Kei Kawamura (KDDI Research), Hiroshi Watanabe (Waseda Univ.) IE2022-54 |
Video-based point cloud compression (V-PCC) is standardized by MPEG in 2020 as a coding method for high-density 3D point... [more] | IE2022-54 pp.17-18 |
| SeMI, SeMI (Joint) |
2023-01-19 17:25 |
Tokushima | Naruto grand hotel (Primary: On-site, Secondary: Online) |
[Short Paper]
An Empirical Study of Data Reduction Method for Point Cloud-based Millimeter-wave Link Quality Prediction Shoki Ohta, Takayuki Nishio (Tokyo Tech), Riichi Kudo, Kahoko Takahashi, Hisashi Nagata (NTT) SeMI2022-93 |
This study experimentally evaluates a tradeoff between prediction accuracy and the number of points on a millimeter-wave... [more] | SeMI2022-93 pp.96-100 |
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2022-11-24 11:20 |
Aichi | Nagoya Institute of Technology (Primary: On-site, Secondary: Online) |
Performance Evaluations of LiDAR-based Indoor Localization and Visualization System using LiDAR SLAM and 3D Point Clouds Misa Nimura, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2022-50 IE2022-38 |
In this paper, we extend our previous 2D LiDAR-based indoor localization system into the 3D system, enabling us to estim... [more] | CS2022-50 IE2022-38 pp.13-18 |
| CCS | 2022-03-27 16:05 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
Range-Equivariant Convolution for Spherical Projection-based Segmentation of LiDAR Point Clouds Hidetaka Marumo, Takashi Matsubara (Osaka Univ) CCS2021-49 |
In autonomous driving, LiDAR point clouds segmentation has attracted much attention. For efficiency and ease of design, ... [more] | CCS2021-49 pp.78-83 |
| NS, IN (Joint) |
2022-03-11 13:20 |
Online | Online | Realistic Telecommunication via Local 5G Network Using 360-degree Point Clouds Yasuhiro Matsumoto, Akihiro Nakao (Tokyo Univ.) NS2021-154 |
With the current situation of the spread of the coronavirus infection (COVID-19) around the world and the acceleration o... [more] | NS2021-154 pp.187-192 |
| MW | 2022-03-04 10:50 |
Online | Online | Dielectric Profile Imaging Method by Incorporating RPM and CSI Methods for Microwave Non-destructive Testing Katsuyoshi Suzuki, Shouhei Kidera (UEC) MW2021-133 |
While radar imaging is one of the most promising approaches for microwave non-destructive evaluation of aging road or tu... [more] | MW2021-133 pp.122-127 |
| ITS, IEE-ITS | 2020-03-10 17:50 |
Shiga | Ritsumeikan Univ. (BKC) (Cancelled but technical report was issued) |
A study on three-dimensional reconstruction using a scanning laser range finder and a spherical camera Kou Yamasaki, Yasushi Tauchi, Yoshiki Mizukami (Yamaguchi Univ.) ITS2019-72 |
In this study, we attempt to reconstruct a 3D structure by synthesizing 3D point cloud obtained with a combination of a ... [more] | ITS2019-72 pp.105-110 |
| PRMU | 2019-10-18 15:05 |
Tokyo | Study of Recognizing Road Surface Conditions using Deep Learning Applied for RGBD images Obtained from an Environmental Monitoring Robot
-- Comparative Studies of SegNet-Basic and ENet as well as Height and Surface Curvature Features -- Takuya Hayashi, Takeo Kaneko, Junya Morimoto (Waseda Univ.), Junji Yamato (Kogakuin Univ.), Hiroyuki Ishii, Jun Ohya, Atsuo Takanishi (Waseda Univ.) PRMU2019-39 |
An environmental monitoring robot that moves safely and autonomously needs a function to recognize the state of the grou... [more] | PRMU2019-39 pp.41-46 |
|
| SRW | 2019-01-15 13:00 |
Kanagawa | Mitsubishi Electric (Oofuna) | 3D Point Cloud Data Simplification Method for Electromagnetic Simulation in Indoor Environment Zhihang Chen, Kentaro Saito (TokyoTech), Wataru Okamura, Yukiko Kishiki (KKE), Jun-ichi Takada (TokyoTech) SRW2018-49 |
Nowadays, using point clouds to do electromagnetic (EM) simulation has been attracting a lot of attention since point cl... [more] | SRW2018-49 pp.19-24 |
| 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 |
|
| CS, IE, IPSJ-AVM, ITE-BCT [detail] | 2017-11-30 17:00 |
Aichi | Nagoya University | Discovering Optimal Matching among Projected Image Sets with View Constraints for 3D Object Detection in Point Clouds Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) CS2017-70 IE2017-85 |
In this paper, we propose a method for 3D object detection in point clouds. Our method obtains projected image sets by... [more] |
CS2017-70 IE2017-85 pp.63-66 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 10:15 |
Hokkaido | Hokkaido Univ. | A Study on Shape Recognition for Aerial 3D Point Clouds Yuji Gouda, Kurumi Kaminishi, Terumasa Aoki (Tohoku Univ.) ITS2016-46 IE2016-104 |
We present a novel framework for recognizing shapes of 3D point clouds by smartphones or tablets, which are projected by... [more] | ITS2016-46 IE2016-104 pp.219-222 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 10:45 |
Hokkaido | Hokkaido Univ. | Estimating Proper View-points for 3D Object Detection based on Principal Component Analysis in Point Clouds Tomoaki Yamazaki, Daisuke Sugimura, Takayuki Hamamoto (Tokyo Univ. of Science) ITS2016-48 IE2016-106 |
In this paper, we propose a method for 3D object detection in point clouds.Our method projects point clouds to virtual c... [more] | ITS2016-48 IE2016-106 pp.227-230 |
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