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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2023-05-19 09:35 |
Aichi | (Primary: On-site, Secondary: Online) |
Free-viewpoint Omnidirectional Image Synthesis for Large Scenes Fuma Yasue, Kazutoshi Akita, Norimichi Ukita (TTI)  PRMU2023-8 |
Recently, Neural Radiance Fields (NeRF) have been attracting attention as a method for arbitrary viewpoint image generat... [more] | PRMU2023-8 pp.39-44 |
| CS, CQ (Joint) |
2023-05-19 14:00 |
Kagawa | Rexxam Hall (Kagawa Kenmin Hall) (Primary: On-site, Secondary: Online) |
Evaluation of Image Quality and Viewing Environment in a Surveillance System Using an Omnidirectional Camera Yuki Norimatsu (Tokyo Metropolitan Univ.), Ryoto Kato (Technical Univ. of Munich), Takashi Nishitsuji (Toho Univ.), Takuya Asaka (Tokyo Metropolitan Univ.) CQ2023-6 |
The effectiveness of our omnidirectional surveillance camera system w.r.t different configurations and UIs was evaluated... [more] | CQ2023-6 pp.20-25 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-22 10:45 |
Hokkaido | Hokkaido Univ. | A Study of Estimating 3D Skeleton of a Human Full-Body Using Images Acquired by Omnidirectional Cameras Attached to the Human Body and Deep Learning Yuta Arai, Jun Ohya (Waseda Univ.), Hiroyuki Ogata (Seikei Univ.), Seo Chanjin (Waseda Univ.) ITS2022-62 IE2022-79 |
In recent years, motion capture has been used for training in various sporting events. However, in sporting events invol... [more] | ITS2022-62 IE2022-79 pp.112-117 |
| 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 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 14:40 |
Online | Online | A Study on Object Detection in Omnidirectional Images Using Deep Learning Yasuyuki Ishida, Toshio Ito (SIT) ITS2021-57 IE2021-66 |
A minimum sensor configuration is desired for a popular automatic vehicle. In this study, an omnidirectional camera with... [more] | ITS2021-57 IE2021-66 pp.190-195 |
| HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online | Online | Wearable MoCap System for User's Lifelog with the Surrounding Image Teppei Miura, Shinji Sako (NIT) |
We propose a wearable motion capture system to collect user’s lifelog with the surrounding image. We develop the prototy... [more] | |
| WIT | 2020-09-08 14:20 |
Online | Online | 3D Human Pose Estimation for Omnidirectional Camera
-- applying for sign-language recognition -- Teppei Miura, Shinji Sako (NIT) WIT2020-7 |
Sign-language is the natural interactive visual language used by deaf people. Most hearing people, however, do not know ... [more] | WIT2020-7 pp.9-14 |
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Xth Person View: a Video Browsing Method for Diversely Observing Naoki Shimura, Hidehiko Shishido, Yoshinari Kameda, Kenji Suzuki, Itaru Kitahara (Univ. of Tsukuba) |
This paper proposes “Xth Person View Video” that enables observation from diverse people and objects using multiple-view... [more] | |
| PRMU, IE, MI, SIP | 2016-05-20 10:00 |
Aichi | High Accuracy Feature Point Tracking for Omnidirectional Image Sequence Hiroshi Tada, Koichi Ichige (Yokohama Nat'l Univ.) SIP2016-16 IE2016-16 PRMU2016-16 MI2016-16 |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is diff... [more] | SIP2016-16 IE2016-16 PRMU2016-16 MI2016-16 pp.85-90 |
|
| PRMU, CNR | 2015-02-19 16:20 |
Miyagi | [Poster Presentation]
Estimate of Viewpoint Positions in Environment Using Eye Tracker and Omnidirectional Camera Shun Chiba, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) PRMU2014-134 CNR2014-49 |
In this work, we propose a method for estimating the user’s viewpoint position in the environment using images taken by ... [more] | PRMU2014-134 CNR2014-49 pp.101-102 |
|
| PRMU, CNR | 2014-02-14 14:30 |
Fukuoka | AR Using Pre-captured Images Considering Illumination of Real Scene Takayuki Akaguma, Fumio Okura, Tomokazu Sato, Naokazu Yokoya (NAIST) PRMU2013-161 CNR2013-69 |
Recently, pre-captured AR systems have been proposed as a novel type of mobile AR. In the pre–captured AR, omnidir... [more] | PRMU2013-161 CNR2013-69 pp.159-164 |
|
| MVE, HI-SIG-VR | 2012-09-28 10:15 |
Hokkaido | Two venues in Nemuro | Displaying Spherical Aerial HDR Images for Telepresence System Fumio Okura, Masayuki Kanbara, Naokazu Yokoya (NAIST) MVE2012-42 |
To display spherical high dynamic range (HDR) images in offline telepresence systems that provide users with sense of lo... [more] | MVE2012-42 pp.85-89 |
| IE, MVE | 2012-03-13 15:50 |
Toyama | Toyama University | Image Acquisition Support System Using Recommendation Degree Map for Telepresence with Image-based Rendering Yoshiki Tanaka, Fumio Okura (NAIST), Maiya Hori (Tottori Univ.), Masayuki Kanbara, Naokazu Yokoya (NAIST) IE2011-166 MVE2011-128 |
This report describes an image acquisition support system for telepresence with image-based rendering (IBR). To provide ... [more] | IE2011-166 MVE2011-128 pp.193-198 |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-20 11:40 |
Osaka | Aerial HDR Imaging of Full Spherical Views without Missing Areas Using Two Omnidirectional Cameras Fumio Okura, Masayuki Kanbara, Naokazu Yokoya (NAIST) PRMU2011-171 MVE2011-80 |
This paper describes a method for acquiring spherical images without missing areas using two omnidirectional cameras mou... [more] | PRMU2011-171 MVE2011-80 pp.245-250 |
|
| NC | 2011-10-19 15:55 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Gait Assist Tool with Ball Wheel Drive Mechanism Shuichi Ishida, Hiroyuki Miyamoto (KIT) NC2011-54 |
The weakness of the lower limbs makes independent life of old people difficult. It causes adverse effects on living a l... [more] |
NC2011-54 pp.53-58 |
| NC | 2011-10-20 15:30 |
Fukuoka | Ohashi Campus, Kyushu Univ. | Intuitive interface for electric omnidirectional wheelchair Hirokazu Minomo, Hiroyuki Miyamoto (KIT) NC2011-68 |
In order for a user to be able to perform efficient operation, sensuous training is required for the interface of the el... [more] | NC2011-68 pp.137-142 |
| PRMU | 2011-02-18 11:00 |
Saitama | An Estimation Method of Position from an Omnidirectional Image for a Two-leg Walking Robot Toshihiko Kanbara, Yuuichirou Numasawa, Hidehiro Seki (Hachinohe Inst. Tech.) PRMU2010-224 |
In the intelligent robotics field, many estimation methods of robot position and orientation have been proposed from ima... [more] | PRMU2010-224 pp.105-110 |
|
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 15:20 |
Shiga | Image-based Indoor localization of Visitors using Time Variation
-- for Applying to Museums -- Hisato Kawaji, Soichiro Kawamura, Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) PRMU2010-185 MVE2010-110 |
In this paper, we proposed an estimation approach of visitors’ routes in a museum. Our approach is based on the image ma... [more] | PRMU2010-185 MVE2010-110 pp.291-296 |
|
| MVE | 2010-03-12 17:30 |
Kanagawa | Toshiba Science Museum | Vision-based Indoor Localization using Omnidirectional Panorama Images Koki Hatada, Hisato Kawaji, Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) MVE2009-141 |
It is not easy to estimate the position of the users in indoor environments from the view points of facility costs and u... [more] | MVE2009-141 pp.57-61 |
| LOIS, IPSJ-DC, IPSJ-FI (Joint) |
2010-03-04 16:35 |
Okinawa | Okinawaken-Seinen-Kaikan | Path Estimation from Sequential Omnidirectional Images Satoshi Hisanaga (Mitsubishi Electric Corp.), Koji Okamura (Kyushu Univ.) LOIS2009-84 |
Recently, Lifelog analyzation has been studied. In it, a set of landscape images taken by a person with cameras is used ... [more] | LOIS2009-84 pp.31-36 |
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