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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IBISML, IPSJ-CVIM 2024-03-03
09:36
Hiroshima Hiroshima Univ. Higashi-Hiroshima campus
(Primary: On-site, Secondary: Online)
Sign language recognition using subspace representations
Ryota Sato, Suzana Rita Alves Beleza (Univ. of Tsukuba), Erica Kido Shimomoto (AIST), Matheus Silva de Lima (Univ. of Tsukuba), Nobuko Kato (Tsukuba Univ. of Technology), Kazuhiro Fukui (Univ. of Tsukuba) PRMU2023-54
This paper proposes a subspace-based method for sign language recognition in videos.
The proposed method represents a ... [more]
PRMU2023-54
pp.19-24
PRMU, IBISML, IPSJ-CVIM [detail] 2023-03-03
09:30
Hokkaido Future University Hakodate
(Primary: On-site, Secondary: Online)
Memory Efficient Trilinear Up-sampling for Sparse Voxels
Riku Yamashita, Yusuke Matsui (UTokyo) PRMU2022-102 IBISML2022-109
We propose a memory-efficient Trilinear Up-sampling algorithm for sparse voxel data. Unlike conventional dense Trilinear... [more] PRMU2022-102 IBISML2022-109
pp.226-231
IE 2023-02-02
15:00
Tokyo NII
(Primary: On-site, Secondary: Online)
[Invited Talk] A Study on Background Filling for the Inter-patch Area of the Texture Image in V-PCC Encoder
Shohei Adachi (Waseda Univ.), Yoshitaka Kidani, Kei Kawamura (KDDI Research), Hiroshi Watanabe (Waseda Univ.) IE2022-54
Video-based point cloud compression (V-PCC) is standardized by MPEG in 2020 as a coding method for high-density 3D point... [more] IE2022-54
pp.17-18
EST 2022-01-28
11:00
Online Online Blood Vessel Structure Analysis using a Simulation Model for the Purpose of Polyp Shape Recovery from Endoscopic Images
Shusuke Kato, Hiroyasu Usami, Akihiko Okazaki, Yuji Iwahori (Chubu Univ.), Ogasawara Naotaka, Kunio Kasugai (Aichi Medical Univ.) EST2021-83
In recent years, the incidence of colorectal cancer in Japan has been on the rise. It is essential to realize a medical ... [more] EST2021-83
pp.130-135
SIS, ITE-BCT 2021-10-08
10:50
Online Online A Study on Contrast Enhancement of Images for SfM
Kazuaki Takahashi, Masaaki Fujiyoshi (Tokyo Metro. Univ.) SIS2021-18
This paper investigates the application of contrast enhancement to photographs for structure from motion (SfM), where Sf... [more] SIS2021-18
pp.42-47
PRMU 2020-10-09
10:45
Online Online Trial of three-dimensional extraction and classification of cell regions in the heart
Asuma Takematsu, Masahiro Migita, Masashi Toda, Yuichiro Arima (Kumamoto Univ.) PRMU2020-21
Analysis of cardiomyocytes is urgently needed to elucidate the pathophysiology of heart disease. Cardiomyocytes are char... [more] PRMU2020-21
pp.15-19
MI 2020-01-30
13:25
Okinawa OKINAWAKEN SEINENKAIKAN 2D Deep CNN for automated multi organ segmentation from CT images by using consecutive slices feature maps
Hiroki Isakari, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2019-113
The development of a computer-aided diagnosis system is expected to reduce the burden on the radiologist in clinical pra... [more] MI2019-113
pp.203-205
PRMU, CNR 2019-03-01
09:30
Tokushima   Point cloud deep learning for estimating 3-D rigid body transformation
Yukihiro Toda, Naoya Chiba, Koichi Hashimoto (Tohoku Univ.) PRMU2018-123 CNR2018-46
6D pose estimation is an important task in the research field of robot vision. Pose estimation is used in picking task i... [more] PRMU2018-123 CNR2018-46
pp.49-52
CAS, SIP, MSS, VLD 2018-06-15
16:50
Hokkaido Hokkaido Univ. (Frontier Research in Applied Sciences Build.) Random Valued Impulse Noise Removal Using Improved Directional Weighted Median and BM3D
Takahiro Kudo, Takanori Fujisawa, Masaaki Ikehara (Keio Univ.) CAS2018-34 VLD2018-37 SIP2018-54 MSS2018-34
We propose a new method for removing random valued impulse noise by the improved Directional Weighted Median (IDWM), Blo... [more] CAS2018-34 VLD2018-37 SIP2018-54 MSS2018-34
pp.179-183
IMQ 2018-05-25
14:15
Chiba Chibe Institute of Technology, Tsudanuma Campus Optimal Design and Coded Image Quality Assessment of the Multi-view and Super-resolution Images Based on Structure of Convolutional Neural Network
Norifumi Kawabata (Nagoya Univ.) IMQ2018-3
The image screen resolution by viewpoints is low, comparing to single-view images since there are many viewpoints for mu... [more] IMQ2018-3
pp.15-20
EMT, IEE-EMT 2017-06-02
13:00
Tokyo Nihon University Realtime 3D image reconstruction methods based on compressive sensing with CUDA support
Iakov Chernyak, Motoyuki Sato (Tohoku Univ.) EMT2017-3
We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array r... [more] EMT2017-3
pp.19-24
MI 2017-01-18
14:15
Okinawa Tenbusu Naha Basic study for pose estimation of patella from single-plane X-ray image using intensity-based 2D/3D registration
Yuichi Hayashi, Takaharu Yamazaki (SIT), Tetsuya Tomita (Osaka Univ), Kenichi Kono (Tokyo Univ), Yoshinobu Sato (NAIST), Kazuomi Sugamoto (Osaka Univ) MI2016-90
This study presents a method to determine 3D kinematics of patella using single-plane fluoroscopy. 3D pose of patella is... [more] MI2016-90
pp.71-76
IE 2016-07-01
13:40
Okinawa   Deblurring of Point Cloud Attributes in Graph Spectral Domain
Yamamoto Kaoru, Onuki Masaki, Tanaka Yuichi (TUAT) IE2016-41
Blurring often occurs in point cloud attributes, e.g., textures and normals on 3D models, because of motions of objects ... [more] IE2016-41
pp.31-36
PRMU, IE, MI, SIP 2016-05-19
13:30
Aichi   Automatic classification of breast density on CT images by using deep CNN
Takuya Kano, Xiangrong Zhou (Gifu Univ.), Hiromi Koyasu (Gifu Univ. Hosp.), Ryuziro Yokoyama, Takeshi Hara (Gifu Univ.), Masayuki Matsuo (Gifu Univ. Hosp.), Hiroshi Fujita (Gifu Univ.) SIP2016-5 IE2016-5 PRMU2016-5 MI2016-5
Breast density has been used as an important risk factor of breast cancer and routinely measured on 2D mammography. 3D C... [more] SIP2016-5 IE2016-5 PRMU2016-5 MI2016-5
pp.21-25
IE, IMQ, MVE, CQ
(Joint) [detail]
2016-03-07
16:30
Okinawa   Multi-view 3D CG Image Quality Evaluation Including Visible Digital Watermarking by Regions
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2015-45 IE2015-144 MVE2015-72
It is important for assessors to focus on what region of an image, and we need to evaluate including the multi-physical ... [more] IMQ2015-45 IE2015-144 MVE2015-72
pp.97-102
MI 2015-07-15
09:30
Hokkaido Sun Refle Hakodate Development of hands-free 3D medical image visuallization system using Kinect
Ryoma Fujii, Tomoko Tateyama, Hidetoshi Tanaka, Mei Uetani, Rui Xu, Satoshi Tanaka, Yen-Wei Chen (Ritsumeikan Univ.) MI2015-38
The purpose of this study is to construct a system for surgical assistance by hands-free interaction. In clinical site, ... [more] MI2015-38
pp.33-38
ET 2015-01-31
13:00
Tokyo Mejiro Univ. Karate-kata Exercise Assist Method Using Video Image Retrieval Based on 3D Point Cloud Processing
Kazumoto Tanaka (Kindai) ET2014-77
It is known that sport skill learning is facilitated by observing images of photographs of movements of trainees themsel... [more] ET2014-77
pp.29-32
IMQ 2014-12-20
16:50
Aichi Nagoya University 3D CG Image Quality Evaluation for the Number of Viewpoint Including Visible Digital Watermarking with 8 Viewpoints Glassless 3D Method
Norifumi Kawabata, Masaru Miyao (Nagoya Univ.) IMQ2014-23
There were many studies of digital watermarking for image or video sequences in order to protect the copyright or securi... [more] IMQ2014-23
pp.39-44
SIS 2014-12-19
09:30
Kyoto Kyoto Research Park (Kyoto City) Multiplex hidden imagery technology (II) : Implement on FPGA based hardware
Hiroki Taguchi, Hisataka Suzuki, Akihiko Shirai (KAIT) SIS2014-79
This article contributes to develop multiplex-hidden image generation hardware implementation on FPGA. The technology is... [more] SIS2014-79
pp.69-74
RECONF 2013-09-19
13:00
Ishikawa Japan Advanced Institute of Science and Technology The Circuit Configuration method of 3D FPGA-Array System "Vocalise"
Hiromasa Kubo, Jiang Li, Yusuke Atsumari, Baku Ogasawara, Masatoshi Sekine (Tokyo Univ. of Agliculture and Tech.) RECONF2013-32
We have been developing the 3D FPGA-Array HPC system named as“Vocalise(Virtual Object by Configurable Array of Little Sc... [more] RECONF2013-32
pp.73-78
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