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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 41 - 60 of 133 [Previous]  /  [Next]  
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
 Results 41 - 60 of 133 [Previous]  /  [Next]  
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