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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| WIT, IPSJ-AAC | 2024-03-18 12:40 |
Ibaraki | Tsukuba University of Technology (Primary: On-site, Secondary: Online) |
Evaluation of the Effect of Passive haptic guidance Conditions on Cognitive reproduction of Spatial Position. Tadahiro Sakai, Junji Ohnishi, Masatsugu Sakajiri, Masaki Matsuo (NTUT), Takahiro Miura (AIST)  WIT2023-42 |
We have been developing a spatial haptic-guidance presentation system that allows visually impaired individuals to quick... [more] | WIT2023-42 pp.19-24 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 09:36 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Sign language recognition using subspace representations Ryota Sato, Suzana Rita Alves Beleza (Univ. of Tsukuba), Erica Kido Shimomoto (AIST), Matheus Silva de Lima (Univ. of Tsukuba), Nobuko Kato (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-54 |
This paper proposes a subspace-based method for sign language recognition in videos. The proposed method represents a ... [more] |
PRMU2023-54 pp.19-24 |
| PRMU, MVE, VRSJ-SIG-MR, IPSJ-CVIM | 2024-01-25 10:03 |
Kanagawa | Keio Univ. (Hiyoshi Campus) | Estimation of 3D Coordinates of Fingertips using Contrastive Embeddings from Hand Images Tatsuya Abe, Takeshi Umezawa, Noritaka Osawa (Chiba Univ.) PRMU2023-40 |
This study evaluated a method for estimating the 3D coordinates of fingertips from hand images when manipulating objects... [more] | PRMU2023-40 pp.7-12 |
| 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 |
| 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 |
| CQ, IMQ, MVE, IE (Joint) [detail] |
2022-03-09 11:25 |
Online | Online (Zoom) | Depth Estimation Based on a Catadioptric System with an Omnidirectional Camera and a Spherical Mirror Yuya Hiruta, Hidehiko Shishido, Itaru Kitahara (Univ. of Tsukuba) IMQ2021-19 IE2021-81 MVE2021-48 |
Since 3D information is useful for spatial recognition, the technologies for acquiring and presenting 3D information are... [more] | IMQ2021-19 IE2021-81 MVE2021-48 pp.49-54 |
| MI | 2021-07-08 13:30 |
Online | Online | [Short Paper]
Performance comparison of multiple deep CNN methods for multiple organ detection in CT images Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10 |
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] | MI2021-10 pp.7-10 |
| WIT, HI-SIGACI | 2020-12-10 14:30 |
Online | Online | 3D model supplying service for blind people
-- Analysis of the service usage and questionnaire responses -- Tetsuya Watanabe (Niigata Univ.), Kazunori Minatani (DNC), Masakazu Iwamura (Osaka Pref. Univ.) WIT2020-19 |
To realize a society in which visually impaired people can obtain and touch what they want to know whenever they like an... [more] | WIT2020-19 pp.7-12 |
| AI | 2019-07-22 16:50 |
Hokkaido | Investigation of Generating Dataset for Recognizing Figures on Augmented Reality Ryosuke Suzuki, Tadachika Ozono, Toramatsu Shintani (Nitech) AI2019-16 |
An intelligent augmented reality (AR) system requires comprehending symbols and their contexts in the real world. In thi... [more] | AI2019-16 pp.83-88 |
|
| PRMU, BioX | 2019-03-17 10:00 |
Tokyo | Investigation of Training Dataset based on 3DCG Simulation for Road Sign Detection using Deep Learning Ryuto Kato, Satoshi Nishiguchi, Yasuharu Mizutani, Wataru Hashimoto (OIT) BioX2018-29 PRMU2018-133 |
Deep learning is utilized in a field of image recognition for automated driving. However, it is costly of the time to co... [more] | BioX2018-29 PRMU2018-133 pp.1-6 |
|
| PRMU, CNR | 2019-03-01 09:30 |
Tokushima | Point cloud deep learning for estimating 3-D rigid body transformation Yukihiro Toda, Naoya Chiba, Koichi Hashimoto (Tohoku Univ.) PRMU2018-123 CNR2018-46 |
6D pose estimation is an important task in the research field of robot vision. Pose estimation is used in picking task i... [more] | PRMU2018-123 CNR2018-46 pp.49-52 |
|
| PRMU, BioX | 2017-03-21 14:10 |
Aichi | Three-dimensional shape retrieval based in voxel representation using LSTM and CNN Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230 |
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] | BioX2016-67 PRMU2016-230 pp.203-208 |
|
| 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 |
| PRMU, CNR | 2017-02-19 09:30 |
Hokkaido | 3D Generic Object Recognition based on Score Level Fusion via Superquadric Representation Ryo Hachiuma, Yuko Ozasa, Hideo Saito (Keio Univ.) PRMU2016-175 CNR2016-42 |
Our goal is to recognize 3d generic objects and estimate object's shape for object grasping simultaneously. In this pap... [more] |
PRMU2016-175 CNR2016-42 pp.131-136 |
|
| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 11:45 |
Toyama | 3D Object Recognition Based on Superquadric Representation with SVM Yuko Ozasa, Ryo Hachiuma, Hideo Saito (Keio Univ.) PRMU2016-82 IBISML2016-37 |
We present a 3D object recognition method by Support Vector Machine(SVM). A feature set for the recognition is derived... [more] |
PRMU2016-82 IBISML2016-37 pp.215-219 |
|
| PRMU, BioX | 2015-03-19 10:00 |
Kanagawa | 3D Object Recognition Method Using Relationship of Length and Angle in Feature Points Seiichi Maehara, Hiroki Imamura (Soka Univ.) BioX2014-40 PRMU2014-160 |
Recent years，there is SHOT method for extracting feature points in local areas．This method has the advantage of high s... [more] | BioX2014-40 PRMU2014-160 pp.7-10 |
|
| IPSJ-SLDM, CPSY, RECONF, VLD [detail] | 2014-01-28 16:55 |
Kanagawa | Hiyoshi Campus, Keio University | An Image Recognition System with Multi-Resolutional Feature Learning on the 3D FPGA-Array "Vocalise" Baku Ogasawara, Satoru Yokota, Jiang Li, Yusuke Atsumari, Hiromasa Kubo, Masatoshi Sekine (TUAT) VLD2013-116 CPSY2013-87 RECONF2013-70 |
We propose and develop "an image recognition system" with multi-resolutional feature learning function. The feature lear... [more] | VLD2013-116 CPSY2013-87 RECONF2013-70 pp.85-90 |
| WIT | 2013-12-12 13:30 |
Tokyo | AIST Tokyo Waterfront | Recognition of Tree-dimensional Geometry using Multipoint Force feedback on a Fingertip
-- Evaluation of the ease of recognizing edges by number of force-feedback points -- Takuya Handa, Tadahiro Sakai, Toshihiro Shimizu (NHK), Hiroyuki Shinoda (Univ. of Tokyo) WIT2013-61 |
We aim to develop a method for conveying 3D shapes to visually impaired persons by tactile means. In conventional point-... [more] | WIT2013-61 pp.5-9 |
| SIP, CAS, CS | 2013-03-14 15:05 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | A study on electrode configuration for distance estimation based on capacitive coupling between sensor nodes Tatsuya Shinada, Masanori Hashimoto, Takao Onoye (Osaka Univ.) CAS2012-119 SIP2012-150 CS2012-125 |
We are studying a 3D modeling system using a sensor network that distributes many tiny sensor nodes in a exible object l... [more] | CAS2012-119 SIP2012-150 CS2012-125 pp.131-136 |
| HIP | 2013-03-13 10:10 |
Okinawa | okinawa-sangyoushien center | Recognition of Three-dimensional Geometry using Multipoint Force feedback on a Fingertip
-- Subjective assessment of the ease of understanding edges and vertices by number of force-feedback points -- Takuya Handa, Tadahiro Sakai, Toshihiro Shimizu (NHK), Hiroyuki Shinoda (Univ. of Tokyo) HIP2012-75 |
We aim to develop a method for conveying 3D shapes to visually impaired persons by tactile means. In conventional point-... [more] | HIP2012-75 pp.13-16 |
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