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 |
RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-15 09:50 |
Online |
Online |
Development and Evaluation of a Sensor Network System for Environmental Information and Growth Observation to Support Indoor Agriculture Naoki Nakayama, Hiroshi Yamamoto (Ritsumeikan Univ.), Masao Arakawa, Itsuo Nala (ASAHI RUBBER GROUP CO,.LTD) NS2021-42 |
In recent years, the aging of workers of the Japanese agricultural
industry and the shortage of successors has become ... [more] |
NS2021-42 pp.51-56 |
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 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 09:55 |
Kagoshima |
Kagoshima University |
A Search Method of Cropped Image Using Corner Feature Points for Watermarked Image Kouki Ikeda, Kousuke Imamura (Kanazawa Univ.), Hideo Kuroda, Makoto Fujimura (Nagasaki Univ.) IMQ2018-27 IE2018-111 MVE2018-58 |
The digital watermarking technique is used for the prevention of distribution of illegal copies. However, the simply app... [more] |
IMQ2018-27 IE2018-111 MVE2018-58 pp.25-29 |
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] |
2018-02-16 11:30 |
Hokkaido |
Hokkaido Univ. |
A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115 |
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] |
ITS2017-83 IE2017-115 pp.257-260 |
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 |
EMM, IT |
2017-05-22 13:25 |
Yamagata |
Yamagata University(Yonezawa Campus) |
Digital watermark detection method based on feature point matching using RANSAC algorithm Yo Kitaoka, Kazuhiko Yamaguchi (UEC) IT2017-2 EMM2017-2 |
The geometrical attack easily remove watermark data for the still image. We miss the synchronization of embedding positi... [more] |
IT2017-2 EMM2017-2 pp.7-12 |
ICSS, IPSJ-SPT |
2016-03-04 10:00 |
Kyoto |
Academic Center for Computing and Media Studies, Kyoto University |
A fast detecting method for obfuscated malicious JavaScript based on text pattern analysis Jiawei Su, Katsunari Yoshioka, Junji Shikata, Tsutomu Matsumoto (YNU) ICSS2015-58 |
The malicious JavaScript is a common springboard for attackers to launch several types of network attacks, such as Drive... [more] |
ICSS2015-58 pp.65-70 |
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 |
CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-06 13:55 |
Oita |
Beppu International Convention Center |
Geomorphological Feature Extraction Based on Geometric Context and Self-Localization Yoshihiro Minamida, Kota Aoki, Hiroshi Nagahashi (Titech) IMQ2013-42 IE2013-151 MVE2013-80 |
Self-localization from camera images is an important technology for mobile robot’s sensing. Detecting landmark of which ... [more] |
IMQ2013-42 IE2013-151 MVE2013-80 pp.93-96 |
CQ, MVE, IE, IMQ, CEA (Joint) [detail] |
2014-03-07 14:55 |
Oita |
Beppu International Convention Center |
Scene Duplicate Detection from News Videos by Sub-Region-based Motion Matching of a Face Haruka Kumagai (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2013-75 IE2013-184 MVE2013-113 |
In this report, we propose a method to detect scene duplicates from news videos. Scene duplicates are video clips taking... [more] |
IMQ2013-75 IE2013-184 MVE2013-113 pp.249-254 |
PRMU, CNR |
2014-02-13 16:10 |
Fukuoka |
|
[Poster Presentation]
Improvement of Feature Description of SIFT Using a Gradient of Phase Information Yoshiaki Hosoda, Akira Kubota (Chuo Univ) PRMU2013-145 CNR2013-53 |
SIFT is a local feature amount obtained by the gradient information of the image, which is robust to changes in the scal... [more] |
PRMU2013-145 CNR2013-53 pp.105-106 |
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] |
|
NC, MBE (Joint) |
2012-12-12 17:05 |
Aichi |
Toyohashi University of Technology |
Sign Language Recognition Considering the Spatial Location of the Via-points Based on the Minimum Jerk Model Shinpei Igari, Naohiro Fukumura (TUT) NC2012-89 |
We have been studied a Japanese Sign Language (JSL) recognition method using via-points based on the Minimum Jerk Model.... [more] |
NC2012-89 pp.73-78 |
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 |
MI |
2011-11-29 09:55 |
Hyogo |
Univ. Hyogo (Portisland C.) |
Improvement of Liver Vessel Registration Procedure for Comparative Reading of Liver CT Images Teruhiko Kinoshita, Shota Kimura, Junichi Hasegawa (Chukyo Univ.), Kenji Shinozaki (National Kyushu Cancer Center), Shigeru Nawano (IUHW) MI2011-64 |
This paper presents an improved procedure for liver vessel registration for comparative reading of liver CT images. In t... [more] |
MI2011-64 pp.7-12 |
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 |
IE, ITE-AIT, ITE-BCT, ITE-ME [detail] |
2010-11-11 15:55 |
Kagoshima |
|
Improving the Performance of SIFT Using Bilateral Filter
-- Fast Implementation with GPU -- Tomoaki Yamazaki, Jiro Katto (Waseda Univ.) IE2010-87 |
SIFT is known as local features that has robustness against rotation, scale and illumination changes of the images. Howe... [more] |
IE2010-87 pp.19-24 |
IE |
2010-03-15 13:00 |
Miyagi |
RIEC Bldg. #2, 4gh Floor, Tohoku Univ. |
Improving the Performance of SIFT Using Bilateral Filter Tomoaki Yamazaki, Jiro Katto (Waseda Univ.) IE2009-184 |
One of the typical methods to extract the features of images is SIFT. SIFT has advantages of robustness in rotation, sca... [more] |
IE2009-184 pp.29-34 |