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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2024-05-16 10:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
An acceleration method by image selection for wide-area 3D scene Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT) |
(To be available after the conference date) [more] | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 15:40 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
A Study of an Automated Photography System for a Three-Dimensional Archive of Food Appearance Sakiho Horibe, Hiromi Nakamura (UTokyo), Yuichi Hiroi (Cluster), Fabre Émilie, Masanori Yoshihira, Jun Rekimoto (UTokyo)  IMQ2023-33 IE2023-88 MVE2023-62 |
This study investigates a system that improves 3D reconstruction using Neural Radiance Fields (NeRF) by integrating a ro... [more] | IMQ2023-33 IE2023-88 MVE2023-62 pp.114-119 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-04 09:00 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
A study on camera parameter estimation using multiple cameras running in parallel for wide-area 3D scene reconstruction Takayuki Kurozumi, Shota Yamada, Seiichi Konya, Shinji Fukatsu (NTT) PRMU2023-68 |
In recent years, Neural Radiance Fields (NeRF) has attracted attention as a 3D scene reconstruction technology, and is e... [more] | PRMU2023-68 pp.100-105 |
| MI | 2024-03-03 17:18 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
3D shape reconstruction of colon with model-based unsupervised depth estimation Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ.), Masahiro Oda (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2023-60 |
We propose unsupervised trainig for the pose estimation in 3D reconstrcution of the colon from colonoscopic images by cl... [more] | MI2023-60 pp.87-90 |
| 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 |
|
| PRMU, IPSJ-CVIM | 2023-05-19 09:50 |
Aichi | (Primary: On-site, Secondary: Online) |
Incorporating Signed Distance Fields to Improve Text-to-3D Generation Zhuofan Sun, Daichi Horita (Univ. of Tokyo), Satoshi Ikehata (NII), Kiyoharu Aizawa (Univ. of Tokyo) PRMU2023-9 |
Frameworks for generating 3D objects from text description have been proposed in recent years. These frameworks utilize ... [more] | PRMU2023-9 pp.45-50 |
| MI | 2023-03-07 14:59 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Penalized 3D PET image reconstruction using deep image prior Fumio Hashimoto, Yuya Onishi, Kibo Ote (HPK), Hideaki Tashima, Taiga Yamaya (QST) MI2022-118 |
(To be available after the conference date) [more] | MI2022-118 pp.181-183 |
| RCS, SR, SRW (Joint) |
2023-03-01 13:55 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Modeling of Geospatial Data for Digital Twin Wireless Systems Koya Sato (UEC) SR2022-83 |
Over the last decade, there has been a wide range of discussions on digital-twin wireless systems. The digital-twin wire... [more] | SR2022-83 p.3 |
| NLP | 2022-11-24 14:15 |
Shiga | (Primary: On-site, Secondary: Online) |
Fast reconstruction of 3D chromosome structure based on an inverse transform of a recurrence plot Yoshito Hirata (U. Tsukuba) NLP2022-63 |
A recurrence plot was originally proposed as a two-dimensional tool for visualizing a time series (Eckmann et al., EPL 1... [more] | NLP2022-63 pp.31-34 |
| PRMU | 2022-09-14 10:45 |
Kanagawa | (Primary: On-site, Secondary: Online) |
PRMU2022-13 |
In this paper, we propose an image correspondence method using machine learning and improve the accuracy of camera param... [more] | PRMU2022-13 pp.19-24 |
| MI | 2022-07-09 15:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
CT Volume Registration on X Ray Image Using 3D Reconstruction Network Pragyan Shrestha, Chun Xie, Hidehiko Shishido (Univ. of Tsukuba), Yuichi Yoshii (Tokyo Medical Univ.), Itaru Kitahara (Univ. of Tsukuba) MI2022-48 |
In this research, we propose a novel method for registering X-ray images to CT volumes by reconstructing 3D point clouds... [more] | MI2022-48 pp.61-65 |
| MI | 2022-01-26 13:39 |
Online | Online | Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62 |
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] | MI2021-62 pp.70-75 |
| MI, MICT [detail] | 2021-11-05 11:05 |
Online | Online | [Short Paper]
Description of microvessel structures in 3D reconstructed microscopic pathological images of pancreatic cancer Yuka Ishimaki, Tatsuya Yokota, Kugler Mauricio (NITech), Kenoki Ohuchida (KU), Hidekata Hontani (NITech) MICT2021-33 MI2021-31 |
In this manuscript, we propose a method that segments microvascular regions in a 3D pathological image. For this purpose... [more] | MICT2021-33 MI2021-31 pp.26-27 |
| CQ, CBE (Joint) |
2021-01-22 11:35 |
Online | Online | [Invited Talk]
QoE issues and evaluation experiments of xR Communication Masaya Fujiwaka, Kousuke Nogami (NEC) CQ2020-96 |
AR Cloud which aims to digitalize the real world is attracting widespread interest. In this paper, we define xR communic... [more] | CQ2020-96 pp.129-134 |
| RCS, SR, SRW (Joint) |
2020-03-04 09:20 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
CSI Feedback Overhead Reduction by 3D CNN for Time-varying FDD Massive MIMO Masumi Kuriyama, Tomoaki Ohtsuki (Keio Univ.) RCS2019-332 |
Massive MIMO (Multiple-Input Multiple-Output) is a technology that uses a large number of antennas at a base station (BS... [more] | RCS2019-332 pp.63-68 |
| MI | 2020-01-29 14:30 |
Okinawa | OKINAWAKEN SEINENKAIKAN | MI2019-89 |
For effective in situ endoscopic diagnosis and treatment, measurement of polyp sizes is important. For this purpose, 3D ... [more] | MI2019-89 pp.109-114 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:00 |
Kagoshima | Kagoshima University | Efficient Light Field Reconstruction of Real Scenes for Dense Multi-View Systems beyond Visual Obstructions Seiya Suda (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2018-55 IE2018-139 MVE2018-86 |
In this paper, we study dense multi-view systems transmitting light fields beyond a visual obstruction as if it were tra... [more] | IMQ2018-55 IE2018-139 MVE2018-86 pp.189-192 |
| ASN | 2019-01-29 14:25 |
Kagoshima | Kyuukamura Ibusuki | [Poster Presentation]
An Optimization of Drone Flight Plan based on Simulation for Precise Three-Dimensional Reconstruction Tatsuya Kobayashi, Zhang Heming, Shin Kawai, Hajime Nobuhara (Univ. Tsukuba) ASN2018-95 |
In the present three-dimensional reconstruction scheme using drone, various parameters such as the photographing positio... [more] | ASN2018-95 pp.89-93 |
| MI | 2019-01-23 16:05 |
Okinawa | 3D Shape Reconstruction of Distal Forearm Bones from Radiography using Convolutional Neural Network Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Ryoya Shiode, Tsuyoshi Murase (Osaka Univ.), Yoshinobu Sato (NAIST) MI2018-114 |
The 3D bone model extracted from the CT image is used for diagnosis or follow-up. However, the necessity of the CT acqui... [more] | MI2018-114 pp.235-238 |
|
| 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 |
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