Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
SR |
2018-05-24 16:05 |
Tokyo |
Tokyo big sight |
[Invited Lecture]
Video Streaming Method using Object Recognition for IoT Hajime Kanzaki (Hitachi), Kevin Schubert, Nicholas Bambos (Stanford Univ.) SR2018-9 |
Wireless video applications for Industrial Internet Of Things (IoT) are expanding into a multitude of new services. In t... [more] |
SR2018-9 pp.51-56 |
PRMU, MVE, IPSJ-CVIM [detail] |
2018-01-18 13:30 |
Osaka |
|
[Fellow Memorial Lecture]
Recognition of Large-Scale, Complex Patterns Enabled by Encounters with Colleagues Koichi Kise (Osaka Prefecture Univ.) PRMU2017-126 MVE2017-47 |
I have met a variety of patterns and challenged to recognize them
simply because I have encountered many colleagues who... [more] |
PRMU2017-126 MVE2017-47 pp.117-122 |
SIS |
2017-12-14 13:50 |
Tottori |
Tottori Prefectural Center for Lifelong Learning |
Object Recognition System using Deep Learning with Depth Image for Home Service Robots Yuma Yoshimoto, Hakaru Tamukoh (Kyutech) SIS2017-55 |
In an aging society with fewer children, home service robots are expected to be realized.
In order to bring a realizati... [more] |
SIS2017-55 pp.123-128 |
IBISML |
2017-11-10 13:00 |
Tokyo |
Univ. of Tokyo |
Rotated Image Recognition by Continuous execution of Angle Estimation Using a Feature Map with CNN Nishiki Katayama, Satoshi Yamane (Kanazawa Univ.) IBISML2017-63 |
Feature extraction by using a Convolutional Neural Network (CNN) has made remarkable results in general object recogniti... [more] |
IBISML2017-63 pp.215-218 |
PRMU |
2017-10-12 13:30 |
Kumamoto |
|
Yoshihiro Yamada, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) PRMU2017-72 |
(To be available after the conference date) [more] |
PRMU2017-72 pp.55-60 |
PRMU, CNR |
2017-02-18 10:55 |
Hokkaido |
|
PRMU2016-158 CNR2016-25 |
(To be available after the conference date) [more] |
PRMU2016-158 CNR2016-25 pp.35-40 |
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, MVE [detail] |
2017-01-19 18:10 |
Kyoto |
|
Fish Detection and Recognition for AR-based Learning Support System in an Aquarium Chihiro Dogo (TUS), Tatsuya Kobayashi, Masaru Sugano (KDDI Research), Seiichiro Hangai (TUS) PRMU2016-139 MVE2016-30 |
This paper presents fish detection and recognition method for AR-based learning support system, which helps users to lea... [more] |
PRMU2016-139 MVE2016-30 pp.165-169 |
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 |
WIT |
2016-07-15 14:05 |
Yamanashi |
University of Yamanashi Organization for Information Management |
Development of a Xtion PRO LIVE cane system and Comparison with our Kinect cane system in Object Recognition Shohei Nakagawa, Hotaka Takizawa (Univ.of Tsukuba), Mayumi Aoyagi (Aichi Univ. of Education), Nobuo Ezaki (Toba College), Shinji Mizuno (Aichi Institute of Technology) WIT2016-21 |
We proposed a Kinect cane system which helped visually impaired individuals recognize chairs, desks, elevators, stairs a... [more] |
WIT2016-21 pp.7-10 |
DE |
2015-09-25 16:50 |
Kanagawa |
|
KUSK Object Dataset: Annotation of Access History to Objects on Cooking Counter Atsushi Hashimoto, Masaaki Iiyama, Shinsuke Mori, Michihiko Minoh (Kyoto Univ.) DE2015-33 |
(To be available after the conference date) [more] |
DE2015-33 pp.77-82 |
MBE, NC (Joint) |
2015-07-18 13:00 |
Tokushima |
The University of Tokushima |
An Integrated model of two processes in 3-D object recogniti Masaki Uchida (Kyoto Univ.), Nobuhiko Asakura, Toshio Inui (Otemon Gakuin Univ.) NC2015-15 |
Previous studies have identified two processes for view-invariant 3-D object recognition. One is a view-based process ba... [more] |
NC2015-15 pp.19-24 |
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 |
WIT |
2015-03-14 16:40 |
Ibaraki |
Kasuga Campus, Tsukuba University of Technology |
A Preliminary Study on Detection of Obstacles and Recognition of Chairs and Tables by Use of a Stereocamera Cane System Akira Kitagawa, Hotaka Takizawa (Univ. of Tsukuba), Mayumi Aoyagi (Aichi Univ. of Education), Nobuo Ezaki (Toba College), Shinji Mizuno (Aichi Inst. of Technology) WIT2014-121 |
In this report, we propose a stereocamera cane system to assist visually impaired individuals in detecting obstacles and... [more] |
WIT2014-121 pp.203-208 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2015-03-04 11:20 |
Tokyo |
Seikei Univ. |
Learning-Based Confidence Analysis for Multi-Class Object Recognition Shinnosuke Ohshima, Toshihiko Yamasaki, Kiyoharu Aizawa (UT) IMQ2014-52 IE2014-113 MVE2014-100 |
We have been working on confidence analysis of multiclass classifiers to distinguish whether the output label from the c... [more] |
IMQ2014-52 IE2014-113 MVE2014-100 pp.123-124 |
PRMU, CNR |
2015-02-20 09:00 |
Miyagi |
|
An Examination of Semantic Segmentation by Using Characteristics Information of Categories
-- by Using Object Detection, Object Recognition and Foreground-Background Information -- Shota Terui, Kazunori Kojima, Yoshiaki Itoh, Masaaki Ishigame (IPU) PRMU2014-138 CNR2014-53 |
The purpose of this study is to recognize the category of existing objects in an image per pixel. Candidate region of ob... [more] |
PRMU2014-138 CNR2014-53 pp.119-124 |
MBE |
2015-01-22 14:50 |
Kumamoto |
Kumamoto University |
Stimulus selectivity of putative excitatory and inhibitory cells in the inferotemporal cortex Reona Yamaguchi, Jun-ya Okamura, Kazunari Honda, Misaki Yoshimitsu, Shintaro Saruwatari, Jin Oshima, Gang Wang (Kagoshima Univ.) MBE2014-101 |
To understand the information processing in a neuronal network, we need to investigate the functions of excitatory and i... [more] |
MBE2014-101 pp.39-42 |
MBE |
2015-01-22 15:15 |
Kumamoto |
Kumamoto University |
Neuronal population responses to 3D objects in the posterior part of inferotemporal cortex Shintaro Saruwatari, Jun-ya Okamura, Reona Yamaguchi, Jin Oshima, Misaki Yoshimitsu, Gang Wang (Kagoshima Univ.) MBE2014-102 |
Discrimination experience of similar objects at the same viewing angles develops viewing angle tolerance in the neurons ... [more] |
MBE2014-102 pp.43-46 |
PRMU |
2014-03-14 10:00 |
Tokyo |
|
Object recognition featuring decision-value based true/false classification and two-stage learning Toshihiko Yamasaki, Takaki Maeda, Kiyoharu Aizawa (Univ. of Tokyo) PRMU2013-197 |
We propose a two-stage classification framework for image recognition. In the first stage, input images are classified u... [more] |
PRMU2013-197 pp.173-178 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-24 10:10 |
Osaka |
|
Object recognition by the selection of visual words according to each category using frequency histograms Tatsunori Tomura, Yasukuni Mori, Ikuo Matsuba (Chiba Univ.) PRMU2013-112 MVE2013-53 |
The general object recognition is a task that enables a computer to recognize an object and scene in images. In this pap... [more] |
PRMU2013-112 MVE2013-53 pp.195-200 |