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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SP, WIT, IPSJ-SLP, ASJ-H [detail] | 2021-10-19 09:10 |
Online | Online | Sign language generation tool using 3D motion data Teppei Miura, Shinji Sako (NIT)  SP2021-24 WIT2021-17 |
Machine learnings play an important role in sign language recognition. However, sign language datasets are shortage the ... [more] | SP2021-24 WIT2021-17 pp.1-5 |
| 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 |
| BioX | 2018-10-11 15:00 |
Okinawa | Nobumoto Ohama Memorial Hall | Clothing-invariant human shape estimation and its application for person recognition Yui Shigeki, Fumio Okura, Mohamed Hasan (Osaka Univ.), Ikuhisa MItsugami (Hiroshima City Univ.), Yasushi Yagi (Osaka Univ.) BioX2018-21 |
Human shape is a useful cue for person recognition. A major challenge for shape-based person recognition is to address c... [more] | BioX2018-21 pp.13-18 |
| PRMU, BioX | 2017-03-21 14:10 |
Aichi | Three-dimensional shape retrieval based in voxel representation using LSTM and CNN Ryo Miyagi, Masaki Aono (TUT) BioX2016-67 PRMU2016-230 |
In recent years, with the spread of 3D scanners, VR headsets, etc., there is an increasing demand for recognition and re... [more] | BioX2016-67 PRMU2016-230 pp.203-208 |
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| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 10:15 |
Hokkaido | Hokkaido Univ. | A Study on Shape Recognition for Aerial 3D Point Clouds Yuji Gouda, Kurumi Kaminishi, Terumasa Aoki (Tohoku Univ.) ITS2016-46 IE2016-104 |
We present a novel framework for recognizing shapes of 3D point clouds by smartphones or tablets, which are projected by... [more] | ITS2016-46 IE2016-104 pp.219-222 |
| 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 |
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| PRMU, IPSJ-CVIM, MVE [detail] | 2017-01-19 15:55 |
Kyoto | ngle independent lip reading using symmetrical 3D-AAM of facial images Takuya Watanabe (TUT), Kouichi Katsurada (TUS), Yasushi Kanazawa (TUT) PRMU2016-134 MVE2016-25 |
Lip reading is a technique to recognize spoken words from only visual images of a face. There have been proposed variou... [more] | PRMU2016-134 MVE2016-25 pp.135-140 |
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| PRMU, IPSJ-CVIM, IBISML [detail] | 2016-09-06 09:00 |
Toyama | Finger shape recognition using shape subspaces Ryoma Yataka, Kazuhiro Fukui (Tsukuba Univ.) PRMU2016-75 IBISML2016-30 |
In this paper, we propose a framework to perform a finger shape recognition by using the 3D information of feature point... [more] | PRMU2016-75 IBISML2016-30 pp.167-172 |
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| 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 |
|
| HCGSYMPO (2nd) |
2014-12-17 - 2014-12-19 |
Yamaguchi | Kaikyo Messe Shimonoseki | Discrimination of facial expression using 3D trajectory of sparsely extracted feature points on the face. Kaori Iwasa, Syunsuke Nagata, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
We defined feature vectors that represent the 3D coordinates of the marker points attached on human face, which were mea... [more] | |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 13:20 |
Hokkaido | Hokkaido Univ. | Shape from Shading by using Single Face Image Kazuya Fukumoto, Tsuyoshi Yamamoto, Yoshinori Dobashi (Hokkaido Univ.) |
Shape from shading by single image has been studied, however, most of them requires apriori information of light source ... [more] | |
| IPSJ-SLDM, CPSY, RECONF, VLD [detail] | 2014-01-28 16:55 |
Kanagawa | Hiyoshi Campus, Keio University | An Image Recognition System with Multi-Resolutional Feature Learning on the 3D FPGA-Array "Vocalise" Baku Ogasawara, Satoru Yokota, Jiang Li, Yusuke Atsumari, Hiromasa Kubo, Masatoshi Sekine (TUAT) VLD2013-116 CPSY2013-87 RECONF2013-70 |
We propose and develop "an image recognition system" with multi-resolutional feature learning function. The feature lear... [more] | VLD2013-116 CPSY2013-87 RECONF2013-70 pp.85-90 |
| WIT | 2013-12-12 13:30 |
Tokyo | AIST Tokyo Waterfront | Recognition of Tree-dimensional Geometry using Multipoint Force feedback on a Fingertip
-- Evaluation of the ease of recognizing edges by number of force-feedback points -- Takuya Handa, Tadahiro Sakai, Toshihiro Shimizu (NHK), Hiroyuki Shinoda (Univ. of Tokyo) WIT2013-61 |
We aim to develop a method for conveying 3D shapes to visually impaired persons by tactile means. In conventional point-... [more] | WIT2013-61 pp.5-9 |
| SIP, CAS, CS | 2013-03-14 15:05 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | A study on electrode configuration for distance estimation based on capacitive coupling between sensor nodes Tatsuya Shinada, Masanori Hashimoto, Takao Onoye (Osaka Univ.) CAS2012-119 SIP2012-150 CS2012-125 |
We are studying a 3D modeling system using a sensor network that distributes many tiny sensor nodes in a exible object l... [more] | CAS2012-119 SIP2012-150 CS2012-125 pp.131-136 |
| HIP | 2013-03-13 10:10 |
Okinawa | okinawa-sangyoushien center | Recognition of Three-dimensional Geometry using Multipoint Force feedback on a Fingertip
-- Subjective assessment of the ease of understanding edges and vertices by number of force-feedback points -- Takuya Handa, Tadahiro Sakai, Toshihiro Shimizu (NHK), Hiroyuki Shinoda (Univ. of Tokyo) HIP2012-75 |
We aim to develop a method for conveying 3D shapes to visually impaired persons by tactile means. In conventional point-... [more] | HIP2012-75 pp.13-16 |
| PRMU | 2013-02-21 11:00 |
Osaka | RGB-D Based 3D-Object Recognition by LLC Using Depth Spatial Pyramid Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2012-137 |
Recently introduced high-accuracy RGB-D cameras are capable of providing high quality three dimension information (color... [more] | PRMU2012-137 pp.43-48 |
|
| HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto | Kumamoto-Shintoshin-plaza | A Study on Non-contact Recognition of Fingerspelling with Hand Movements by Using Depth Image Taichi Miyake, Daisuke Wakatsuki, Ichiro Naito (NTUT) |
IT devices that can be operated easily in a speech input have been popularized by improvement of speech recognition and ... [more] | |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2012-02-20 09:20 |
Hokkaido | Hokkaido Univ. | Discrimination of Facial Expression using 3D Trajectory of Feature Points on The Face Kaori Iwasa, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
We defined feature vectors that represent the 3D coordinates of the marker points attached on human face, which were mea... [more] | |
| CQ, MVE, IE (Joint) [detail] |
2011-03-07 10:20 |
Nagasaki | Yasuragi IOUJIMA | Discrimination of Facial Expression using Feature Points obtained by Motion Capture System. Syunta Yamamoto, Kaori Iwasa (Hosei Univ.), Hirotoshi Inomata (Hosei Univ), Yoshinori Inaba (Hosei Univ.), Shigeru Akamatsu (Hosei Univ) IE2010-163 MVE2010-151 |
Our research goal is to build a dynamic deformation model of 3D face that creates natural facial expressions, through ex... [more] | IE2010-163 MVE2010-151 pp.101-106 |
| PRMU, MVE, IPSJ-CVIM [detail] | 2011-01-21 16:35 |
Shiga | Real-time face recognition by 3d sparse eigen-tracking Yuki Oka, Takeshi Shakunaga (Okayama Univ.) PRMU2010-191 MVE2010-116 |
This paper proposes real-time face tracking and recognition by combining two eigen-based methods, augmented eigenface an... [more] | PRMU2010-191 MVE2010-116 pp.335-340 |
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