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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2019-09-23 10:40 |
Kochi | Eikokuji Campus, University of Kochi | Image Classification of Datasets Composed of Depth Prediction Images and Edge Extraction Images using Convolutional Neural Network Shu Sumimoto, Yuichi Miyata, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.)  NLP2019-38 |
In this study, we classify images by using Convolutional Neural Network. We aim at differentiating humans or cars. Datase... [more] | NLP2019-38 pp.19-22 |
| AI | 2019-09-13 14:45 |
Kagoshima | Developing an algorithm to estimate snow depth via AMeDAS observation environment monitoring camera Tomofumi Kitamura, Kenji Kobayashi (JMA), Yoshinori Mizuno (MRI), Masato Mori, Shinichi Miyatake, Kazuyuki Shibuya (JMA) AI2019-22 |
We have been developing a snow depth estimation algorithm using an observation environment monitoring camera that will b... [more] | AI2019-22 pp.19-24 |
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| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2019-06-13 13:55 |
Nagasaki | Fukue Culture Center | Accuracy Improvement of Depth Estimation from a Single Still Image Using Feature Pyramid Network Yudai Fukuda, Takuro Oki, Ryusuke Miyamoto (Meiji Univ.) SIS2019-5 |
Depth estimation from a single shot image have become accurate drastically after emergence of deep neural networks that... [more] |
SIS2019-5 pp.23-28 |
| PRMU, BioX | 2019-03-17 10:15 |
Tokyo | Automatic capture of images for individual re-identification by Top-View RGB-D camera Kouichi Oku, Peng Li, Haiyuan Wu (Wakayama Univ) BioX2018-34 PRMU2018-138 |
(To be available after the conference date) [more] | BioX2018-34 PRMU2018-138 pp.31-35 |
|
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 13:00 |
Kagoshima | Kagoshima University | Optical system that forms a mid-air image moving at high speed in the depth direction Yui Osato, Naoya Koizumi (UEC) IMQ2018-35 IE2018-119 MVE2018-66 |
Mid-air imaging technology expresses how virtual images move about in the real world. A conventional mid-air image displ... [more] | IMQ2018-35 IE2018-119 MVE2018-66 pp.73-78 |
| HWS, VLD | 2019-03-02 13:30 |
Okinawa | Okinawa Ken Seinen Kaikan | An Instrumentation Security Metric for ToF Depth-Image Cameras Satoru Sakurazawa, Daisuke Fujimoto, Tsutomu Matsumoto (YNU) VLD2018-141 HWS2018-104 |
We are constructing a system for evaluating instrumentation security of ToF Depth-Image Cameras based on pulse-light spo... [more] | VLD2018-141 HWS2018-104 pp.283-288 |
| MICT | 2019-01-11 14:25 |
Tokyo | Meiji Universtiy (Surugadai Campus) | [Invited Talk]
Evaluation of Swallowing Function and Rehabilitation Support using Depth Images Chika Sugimoto (YNU) MICT2018-62 |
There are growing concerns about the increased number of the elderly with deglutition disorder as the super-aging of the... [more] | MICT2018-62 p.17 |
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | An application of CNN to finger range images for numerical recognition Haruki Okada, Shigeru Akamatsu (Hosei Univ.) |
In this study, we investigated a recognition system of static finger numeric characters 0-9 through the depth image obta... [more] | ||
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | Depth Estimation of Panel Image for Stereoscopic Display of Comics Yusuke Maeda, Motoi Iwata, Koichi Kise (Osaka Prefecture Univ.) |
A comic is read as electronic books using electronic terminals．Along with this，expressions and use that could not be don... [more] | ||
| SIS | 2018-12-06 14:10 |
Yamaguchi | Hagi Civic Center | Multi-Point Simultaneous Measurement of Water Depth in Indoor Environment Using a ToF Camera Shunnosuke Kataoka, Takanori Koga (NIT,Tokuyama Col.) SIS2018-24 |
In this study, we propose a multi-point simultaneous measurement method of water depth for application to interactive ar... [more] | SIS2018-24 pp.17-20 |
| SIS | 2018-12-07 10:30 |
Yamaguchi | Hagi Civic Center | Hardware Oriented Object Recognition Neural Network using Depth Image Yuma Yoshimoto, Hakaru Tamukoh (KIT) SIS2018-32 |
In recent years, deep learning using Convolutional Neural Network (CNN) has attracted attention as a powerful method for... [more] | SIS2018-32 pp.55-60 |
| HWS, ISEC, SITE, ICSS, EMM, IPSJ-CSEC, IPSJ-SPT [detail] | 2018-07-25 13:35 |
Hokkaido | Sapporo Convention Center | A System for Evaluating Instrumentation Security of ToF Depth-Image Cameras against Pulse-light Spoofing Satoru Sakurazawa, Daisuke Fujimoto, Tsutomu Matsumoto (YNU) ISEC2018-18 SITE2018-10 HWS2018-15 ICSS2018-21 EMM2018-17 |
The ToF depth-image camera is a device capable of simultaneously measuring distances within a certain range and it is be... [more] | ISEC2018-18 SITE2018-10 HWS2018-15 ICSS2018-21 EMM2018-17 pp.61-68 |
| HCS, HIP, HI-SIGCOASTER [detail] | 2018-05-22 10:20 |
Okinawa | Okinawa Industry Support Center | Does Visual Illusion Works Well for Adding Depth Information on Video Sequnces? Shun Aoki, Yuki Onozato, Sayaka Shimomura, Shingo Kobayashi, Ryusuke Miyamoto (Meiji Univ.), Hiroki Sugano, Kazuyoshi Moriya (Axell) HCS2018-20 HIP2018-20 |
Recently, some specialized devices such as an HMD are proposed to show depth information that cannot be represented by g... [more] | HCS2018-20 HIP2018-20 pp.139-142 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-22 11:20 |
Tokyo | Waseda Univ. Green Computing Systems Research Organization | A Sound Source Separation Method for Multiple Person Speech Recognition using Wavelet Analysis Based on Sound Source Position Obtained by Depth Sensor Nobuhiro Uehara, Kazuo Ikeshiro, Hiroki Imamura (Soka Univ.) SP2017-63 |
Recently, voice information guidance systems are used for only one person in operating at a city hall. To realize operat... [more] | SP2017-63 pp.79-83 |
| 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 |
| HIP | 2017-03-09 14:45 |
Osaka | CiNet | [Invited Talk]
Application possiblities of fMRI studies on 3D vision to evaluate visual virtual reality technologies Hiroshi Ban (NICT CiNet/Osaka Univ.) HIP2016-81 |
Recent remarkable advances in virtual reality technologies have provided us the next generation image experiences. For i... [more] | HIP2016-81 pp.37-42 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 11:15 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Improvement of spatial resolution of depth images obtained by RGBD camera using time correlation Atsuhiko Tsuchiya, Daisuke Sugimura, Takayuki hamamoto (TUS) IMQ2016-27 IE2016-142 MVE2016-50 |
Depth image obtained by deph camera that can get color and depth information simultaneously is lower resolution than col... [more] | IMQ2016-27 IE2016-142 MVE2016-50 pp.43-46 |
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Online algorithm of swallowing detection using close-range depth sensor Tsubasa Takai, Tomoya Sakai, Misako Higashijima (Nagasaki Univ) PRMU2016-183 CNR2016-50 |
We are developing an online algorithm of detecting and counting swallowing motions from a depth image sequence for cont... [more] |
PRMU2016-183 CNR2016-50 pp.163-164 |
|
| HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi | Kochi City Culture Plaza (CUL-PORT) | Extraction of object region using a depth image Shouhei Takemoto, Yoshinori Arai (Tokyo Polytechnic Univ.) |
In this paper, a method of extracting the object region using the distance information is proposed. Pixels that differen... [more] | |
| EID, ITE-IDY, ITE-HI, ITE-3DMT, IEE-OQD, SID-JC [detail] | 2016-10-28 15:15 |
Tokyo | Kikai-Shinko-Kaikan Bldg | Synthetic Depth-of-Field Projector by Shape Adaptive Focal Sweep Projection Hidetoshi Izawa, Daisuke Iwai, Kosuke Sato (Osaka Univ) EID2016-7 |
In this paper, we propose a synthetic depth-of-field projector to eliminate defocus blur occurred by projecting on a thr... [more] | EID2016-7 pp.17-20 |
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