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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIS | 2022-12-05 17:00 |
Osaka | (Primary: On-site, Secondary: Online) |
Improvement of Visual Odometry Based on Suitable and Restricted Feature Point Extraction Junfeng Xue, Miho Adachi, Ryusuke Miyamoto (Meiji Univ.)  SIS2022-33 |
Accurate localization is indispensable for autonomous moving. When a camera is an external sensor, visual odometry can b... [more] | SIS2022-33 pp.56-61 |
| SANE, SAT (Joint) |
2021-02-18 14:25 |
Online | Online | Trajectory Optimization Based on Overlapped Point Cloud Data
-- Trajectory conversion weighted upon Satellite positioning residual -- Junichi Takiguchi, Koji Kaneko (MELCO) SAT2020-31 |
In order to reduce the positioning error caused by GNSS invisibility due to buildings, the corresponding road feature po... [more] | SAT2020-31 pp.13-18 |
| 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 |
| PRMU, SP | 2017-06-23 14:15 |
Miyagi | A study on keypoint matching with light field information Masayuki Shimizu, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2017-36 SP2017-12 |
Recently, it is easier to obtain light field data because light field camera is commercially available. From light fiel... [more] |
PRMU2017-36 SP2017-12 pp.63-67 |
|
| VLD, DC, CPSY, RECONF, CPM, ICD, IE (Joint) [detail] |
2016-11-30 11:45 |
Osaka | Ritsumeikan University, Osaka Ibaraki Campus | Keypoint Detection based on Learning to Rank for Robust Image Matching under Resolution Variation Satoshi Yoshikawa, Keisuke Kameyama (Univ. of Tsukuba) CPM2016-85 ICD2016-46 IE2016-80 |
The image matching by keypoint selection from images is used in various situations in computer vision. Among them, Sca... [more] |
CPM2016-85 ICD2016-46 IE2016-80 pp.45-50 |
| PRMU | 2015-12-21 15:10 |
Nagano | Local feature description for keypoint matching Mitsuru Ambai (Denso IT Laboratory, Inc.), Takahiro Hasegawa, Hironobu Fujiyoshi (Chubu University) PRMU2015-104 |
A task of finding physically the sample points among multiple images captured from different viewpoints is called as key... [more] | PRMU2015-104 pp.53-73 |
|
| BioX | 2014-10-17 10:20 |
Okinawa | Nobumoto Ohama Memorial Hall (Ishigaki) | A Study of a Score Calculation Method Using Correspondence of Feature Points for Biometric Authentication Koichi Ito, Shoichiro Aoyama, Takafumi Aoki (Tohoku Univ.) BioX2014-36 |
In the field of computer vision, a lot of feature-based correspondence matching methods have been proposed. These method... [more] | BioX2014-36 pp.43-48 |
| BioX (2nd) |
2013-05-24 17:40 |
Toyama | Toyama Prefectural University | [Poster Presentation]
Affine Invariant Feature Quantity Descriptions using Log-Polar Transform Toma Kawa, Hironari Matsuda, Takayuki Nakata (Toyama Prefectural Univ.) |
Matching system of image are used by Image processing, Pattern recognition Object recognition, etc. It does not have aff... [more] | |
| PRMU | 2013-03-15 10:00 |
Tokyo | Object Discovery from Images with Multiple Objects based on Co-occurring Graphs Takayuki Nanbu, Hisashi Koga, Toshinori Watanabe (Univ. of Electro- Comm.) PRMU2012-209 |
Although the BoF (Bag-of-Features) model has succeeded in automatic object discovery, it still has some drawbacks: For e... [more] | PRMU2012-209 pp.169-174 |
|
| MVE, IE, WIT, IMQ, CQ (Joint) [detail] |
2013-03-12 12:00 |
Fukuoka | Fukuoka Institute of Technology | Word Recognition Method of Sign Language Movement from Multiple Speakers Using Via-points Based on the Minimum Jerk Model. Shinpei Igari, Naohiro Fukumura (Toyohashi Univ. of Tech.) IMQ2012-80 IE2012-184 MVE2012-141 WIT2012-90 |
Feature extraction from movements and a pattern matching methods are major challenges in the word recognition of sign la... [more] | IMQ2012-80 IE2012-184 MVE2012-141 WIT2012-90 pp.257-262 |
| IE | 2012-04-27 13:40 |
Tokyo | Seikei University | Performance Comparison Between SIFT and SURF for Feature Points Matching in Dynamic Calibration with Zoom Camera Arata Suda, Hitomi Murakami, Atsushi Koike (Seikei Univ.), Hiroshi Sankoh, Sei Naito (KDDI Labs) IE2012-9 |
Synthetic technology of Free Viewpoint Video as variety of techniques has been proposed. but target space and projection... [more] | IE2012-9 pp.47-50 |
| IE, MVE | 2012-03-12 16:25 |
Toyama | Toyama University | A study on region-based matching for scene duplicate detection from news videos Haruka Kumagai, Keisuke Doman, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) IE2011-146 MVE2011-108 |
In this paper, we report a study on region-based matching for detecting scene duplicates from news videos. Scene duplica... [more] | IE2011-146 MVE2011-108 pp.75-80 |
| PRMU, MVE, CQ, IPSJ-CVIM [detail] | 2012-01-19 10:40 |
Osaka | Three-dimensional object recognition based on spherical projection of obtained shapesand textures Hiroko Yabushita, Jun Shimamura, Masashi Morimoto (NTT) PRMU2011-153 MVE2011-62 |
We propose a technique for recognizing three-dimensional (3D) objects which is based on spherical projection of obtained... [more] | PRMU2011-153 MVE2011-62 pp.73-78 |
|
| MVE, HI-SIG-VR | 2011-10-13 10:05 |
Hokkaido | Augmented Reality Book Search System by Using the Back Cover Images Masaki Takahashi, Yusuke Tomisawa, Yoshiaki Takai (Hokkaido Univ.) MVE2011-33 |
We often need an efficient way to find out an object book quickly from a number of books on large shelves in a library. ... [more] | MVE2011-33 pp.11-15 |
|
| PRMU, DE | 2011-06-06 16:50 |
Kanagawa | Temporal detection of rigid changes in 3D scenes by using 2D-3D matching Yuji Ueno, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda (Hiroshima Univ.) DE2011-12 PRMU2011-43 |
In this technical report, we present a method for detecting a temporal rigid change in 3D scenes between time A (past) a... [more] | DE2011-12 PRMU2011-43 pp.67-72 |
|
| PRMU, IE, MI | 2010-05-13 10:00 |
Aichi | Chubu Univ. | Development of colon registration method using haustral folds and feature points from 3D abdominal CT images Eiichiro Fukano, Masahiro Oda (Nagoya Univ.), Takayuki Kitasaka, Yasuhito Suenaga (AIT), Tetsuji Takayama (The University of Tokushima), Hirotsugu Takabatake (Sapporo-Minami-Sanjo Hospital), Masaki Mori (Sapporo-Kosei General Hospital), Hiroshi Natori (Keiwakai Nishioka Hospital), Shigeru Nawano (International University of Health and Welfare Mita Hospital), Kensaku Mori (Nagoya Univ.) IE2010-16 PRMU2010-4 MI2010-4 |
This paper proposes a method to make correspondence between supine-prone positions of colon. Physicians take CT images ... [more] |
IE2010-16 PRMU2010-4 MI2010-4 pp.19-24 |
| 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 |
| MI | 2010-01-28 17:40 |
Okinawa | Naha-Bunka-Tenbusu | Endoscopic image matching for reconstructing 3-D structure of intestine Katsuhiro Hirai, Yasushi Kanazawa (Toyohashi Univ. of Tech.), Ryusuke Sagawa, Yasushi Yagi (Osaka Univ.) MI2009-117 |
We present an image matching method between endoscopic images for reconstructing 3-D shape of an intestine. In this cas... [more] | MI2009-117 pp.223-228 |
| PRMU | 2009-12-17 10:30 |
Tochigi | Fujihara Cultural Center | Object Recognition based on Canonical Angles between Shape Subspaces and Its Application for Personal Identification Yosuke Igarashi, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2009-135 |
This paper proposes a method to measure the similarity between two sets of feature point using shape subspace produced b... [more] | PRMU2009-135 pp.7-12 |
| ITS, WBS (Joint) |
2009-12-08 13:25 |
Kumamoto | Kumamoto University | Traffic Sign Recognition Using Affine Scale-invariant Feature Transform Xin Li (Kumamoto Univ./Gui Lin Univ. of Tech), Keiichi Uchimura, Zhencheng Hu (Kumamoto Univ.) ITS2009-22 |
This paper introduces a traffic sign recognition method using a new type of local image features. The Affine SIFT (Scale... [more] | ITS2009-22 pp.29-33 |
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