Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
PRMU, IPSJ-CVIM |
2023-05-19 09:05 |
Aichi |
(Primary: On-site, Secondary: Online) |
A Study of Depth Map Optimization Using NeRF for Multi-View Stereo Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.) PRMU2023-6 |
In this paper, we propose a method to improve the accuracy of depth maps estimated by Multi-View Stereo (MVS) by optimiz... [more] |
PRMU2023-6 pp.27-32 |
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2023-02-21 14:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Improvement of Binauralization Performance Based on Multi-view Learning on 360° Videos Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a binaural audio generation method based on multi-view learning using 360◦ videos. Conventiona... [more] |
|
PRMU |
2022-09-14 10:45 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
PRMU2022-13 |
In this paper, we propose an image correspondence method using machine learning and improve the accuracy of camera param... [more] |
PRMU2022-13 pp.19-24 |
CQ |
2022-07-21 14:05 |
Osaka |
Ritsumeikan Ibaraki Future Plaza Conference Hall (Primary: On-site, Secondary: Online) |
Comparison of Bit-Rate Control Methods on Multi-View Video and Audio Streaming with MPEG-DASH Yamato Wakayama, Toshiro Nunome (Nagoya Inst.) CQ2022-17 |
In this paper, we consider the effect of bit-rate control methods on QoE of Multi-View Video and Audio (MVV-A) streaming... [more] |
CQ2022-17 pp.1-6 |
PN |
2022-03-02 11:20 |
Online |
Online |
A Traffic Reduction Method Based on Users' Interests for Multi-view Video Hikaru Yamaguchi, Yutaka Nasu, Saeko Maeda, Naoaki Yamanaka, Satoru Okamoto (Keio Univ.) PN2021-74 |
With the development of image processing technology and information communication technology, various forms of video str... [more] |
PN2021-74 pp.117-121 |
IE |
2022-01-24 11:10 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
Efficient dense interpolation of 4D light fields obtained by sparse viewpoints based on depth estimation Hidemichi Yoshino (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) IE2021-27 |
In order to easily enjoy immersive 3D visual environment reproducing light fields, inexpensive multi-view imaging system... [more] |
IE2021-27 pp.1-4 |
IE |
2022-01-24 11:35 |
Tokyo |
National Institute of Informatics (Primary: On-site, Secondary: Online) |
4D light field compression based on view interpolation using multi-focus images Shuho Umebayashi (TUS/NII), Kazuya Kodama (NII), Takayuki Hamamoto (TUS) IE2021-28 |
Light field reproduction by 3D reconstruction using multi-view videos has been widely developed. For example, while such... [more] |
IE2021-28 pp.5-8 |
IPSJ-AVM, CS, IE, ITE-BCT [detail] |
2021-11-25 11:15 |
Online |
Online |
CS2021-62 IE2021-21 |
A light field (LF) image is composed of multi-view images acquired by slightly offset viewpoints. We propose a novel met... [more] |
CS2021-62 IE2021-21 pp.13-18 |
EMM |
2021-03-04 13:30 |
Online |
Online |
[Poster Presentation]
Object Boundary Correction for Monocular Depth Estimation Using Region Segmentation Ikuma Yasukawa, Shoko Imaizumi (Chiba Univ.) EMM2020-67 |
We propose a new method to generate high-quality depth images in this paper. The proposed method corrects object boundar... [more] |
EMM2020-67 pp.1-6 |
EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] |
2021-01-28 13:10 |
Online |
Online |
Consideration of cylindrical POV with two dimensional LED array Konomoto Mitsutishi, Reiji Hattori, Shinsuke Aso (Kyushu Univ.) EID2020-17 |
POVディスプレイとは,視覚の持続を応用し残像をピクセルとするディスプレイであり,LEDを高速で移動させ制御することで宙にイメージを表示するものである.我々は,高精細なPOVイメージの表示を目指し,ディスプレイ部分に二次元LEDアレイを用い... [more] |
EID2020-17 pp.9-12 |
IE |
2021-01-21 16:40 |
Online |
Online |
[Invited Talk]
Advanced visual media fall in love with light field representation rather than conventional image processing
-- With COVID-19, Beyond COVID-19 -- Kazuya Kodama (NII) IE2020-40 |
Nowadays we enjoy visual media based on technologies for image acquisition, compression, processing, transmission and di... [more] |
IE2020-40 pp.19-20 |
IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 16:05 |
Fukuoka |
Kyushu Institute of Technology (Cancelled but technical report was issued) |
Implementation of Multi-view Imaging Systems Using a Mirror Array for Dynamic Light Field Acquisition Satoshi Fujigaki (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2019-26 IE2019-108 MVE2019-47 |
Lens arrays enable us to easily achieve inexpensive light field acquisition in comparison with massive camera arrays. Ho... [more] |
IMQ2019-26 IE2019-108 MVE2019-47 pp.57-62 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 14:55 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] |
|
MVE |
2019-08-29 15:30 |
Aichi |
|
[Short Paper]
Impression estimation of 3D shape considering the influence of gaze direction DNN using multi-viewpoint image group Keisuke Sakashita, Kensuke Tobitani (Kwansei Gakuin Univ.), Kouichi Taguchi (Chukyo Univ.), Iori Tani, Sho Hashimoto, Kenji Katahira (Kwansei Gakuin Univ.), Manabu Hashimoto (Chukyo Univ.), Noriko Nagata (Kwansei Gakuin Univ.) MVE2019-11 |
To estimate how a three-dimensional shape makes a person feel, a method using the deep neural network with multi-viewpoi... [more] |
MVE2019-11 pp.35-36 |
IMQ, HIP |
2019-07-19 14:25 |
Hokkaido |
Satellite Campus, Sapporo City University |
Consideration of person identification method from multi-view video with different view angle Shuhei Kishida, Yuukou Horita (Univ. of Toyama) IMQ2019-1 HIP2019-29 |
In order to make use of area data to create new added value in cities, it is necessary to collect the conditions and nee... [more] |
IMQ2019-1 HIP2019-29 pp.1-5 |
SeMI, RCS, NS, SR, RCC (Joint) |
2019-07-10 14:15 |
Osaka |
I-Site Nanba(Osaka) |
[Encouragement Talk]
Soft Video Uploading for Low-Power Crowdsourced Multi-view Video Streaming Than Than Nu, Takuya Fujihashi, Takashi Watanabe (Osaka Univ.) SeMI2019-22 |
The human visual system (HVS) has more sensitive spatial resolution to the currently gazing region-of-interest (ROI) of ... [more] |
SeMI2019-22 pp.23-27 |
ET |
2019-07-06 10:35 |
Iwate |
Iwate Prefectural University |
Exploring the Possibility of Applying Expansion Scheme for Profile Face Detection Min Zou (Iwate Univ.), Mengbo You (NWAFU), Takuya Akashi (Iwate Univ.) ET2019-16 |
%% v3.1 [2018/04/18]
%documentclass[Proof,technicalreport]{ieicej}
documentclass[technicalreport]{ieicej}
usepackage{... [more] |
ET2019-16 pp.7-10 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:00 |
Kagoshima |
Kagoshima University |
Efficient Light Field Reconstruction of Real Scenes for Dense Multi-View Systems beyond Visual Obstructions Seiya Suda (Tokyo Univ. of Science/NII), Kazuya Kodama (NII), Takayuki Hamamoto (Tokyo Univ. of Science) IMQ2018-55 IE2018-139 MVE2018-86 |
In this paper, we study dense multi-view systems transmitting light fields beyond a visual obstruction as if it were tra... [more] |
IMQ2018-55 IE2018-139 MVE2018-86 pp.189-192 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 09:50 |
Kagoshima |
Kagoshima University |
IMQ2018-57 IE2018-141 MVE2018-88 |
Lens arrays enable us to easily achieve inexpensive light field acquisition in comparison with massive camera arrays. Ho... [more] |
IMQ2018-57 IE2018-141 MVE2018-88 pp.197-200 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 11:05 |
Kagoshima |
Kagoshima University |
Person identification from multi-view video with different view angle Shuhei Kishida, Yuukou Horita (Univ. of Toyama) IMQ2018-61 IE2018-145 MVE2018-92 |
In order to consider about the creation of new additive value of cities by making use of area data, it is necessary
to ... [more] |
IMQ2018-61 IE2018-145 MVE2018-92 pp.213-218 |