Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
HIP |
2019-10-30 15:25 |
Kyoto |
Kyoto Terrsa |
Real-Object DFD (Depth-fused 3D) display Can Successfully Achieve Perceived Depth Change of Rear Real Object Occluded by Front Real Object and Low Luminance Real Object near Black Oku Iwamoto, Haruki Mizushina, Shiyo Suyama (Tokushima Univ.) HIP2019-52 |
Depth-fused 3D display can successfully change perceived depth of occluded rear real object from behind rear object to i... [more] |
HIP2019-52 pp.25-29 |
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 |
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] |
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