Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IIEEJ, AIT |
2024-06-05 10:10 |
Tokyo |
Tokyo Information Design Professional University (Primary: On-site, Secondary: Online) |
Utilizing 3D CG-based Reverse Projection Photogrammetry for Gait-based Verification Analysis Daisuke Imoto, Masato Asano, Wataru Sakurai, Masakatsu Honma, Kenji Kurosawa (NRIPS) |
(To be available after the conference date) [more] |
|
3DMT |
2024-03-14 16:10 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Creation of 3D model from ToF camera using light reflection intensity Shuto Ogura (Tokushima Univ.), Toshihide Kobayasi, Atsushi Suzuki, Ryousuke Nakagoshi (JVCKENWOOD Corp.), Haruki Mizusina, Kenji Yamamoto (Tokushima Univ.) |
We propose an algorithm that uses the reflection intensity of light to remove flying pixels from a 3D point cloud model ... [more] |
3DMT2024-13 pp.49-52 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 11:48 |
Tokyo |
Tokyo University of Technology |
Efficient multiple source smoke scene representation using cache data Nobuhiro Takase, Tsukasa Kikuchi (TUT) |
This paper focuses on the representation of smoke, which is computationally expensive, and proposes a method for represe... [more] |
AIT2024-35 pp.15-18 |
AIT, IIEEJ, AS, CG-ARTS |
2024-03-05 14:30 |
Tokyo |
Tokyo University of Technology |
A Reduction Method of the Number of Polygons Constructing a 3D Model Generated from Point Cloud Data Yuzhou Pei, Youngha Chang, Nobuhiko Mukai (TCU) |
A 3D point cloud is generated from the photos taken with an iPhone stereo camera, and a triangular mesh model is constru... [more] |
AIT2024-124 pp.315-316 |
BCT, IEEE-BT, HOKKAIDO |
2023-07-28 10:30 |
Hokkaido |
Sapporo Business Innovation Center (Primary: On-site, Secondary: Online) |
Proposing a Evaluation Method for Typing Performance Based on Finger Movement Data Shu Himeda, Misaki Takeda (NITTC) |
Improving typing performance is a major issue in an information-oriented society, and a method to quantitatively evaluat... [more] |
BCT2023-58 pp.37-40 |
AIT, IIEEJ, AS, CG-ARTS |
2023-03-06 13:04 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Primary: On-site, Secondary: Online) |
An Interactive Visualization of Large 3D Point Cloud Using Hierarchical Structure Xiaojun Wu, Ryuichi Tanida, Jun Shimamura (NTT) |
Nowadays, 3D point cloud of real buildings, or even a real town, can be
obtained by using LiDAR or such other devices.... [more] |
AIT2023-47 pp.43-46 |
AIT, IIEEJ, AS, CG-ARTS |
2023-03-06 10:25 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) (Primary: On-site, Secondary: Online) |
Material setting support system for 3DCG model considering fabric feature Ryoto Fukuda, Yoshihisa Kanematsu, Suguru Matsuyoshi, Koji Mikami (TUT) |
When expressing the texture of clothing in 3DCG, it is necessary to set up materials that take into account the characte... [more] |
AIT2023-85 pp.179-182 |
ME, SIP, TOKAI |
2022-12-07 10:50 |
Aichi |
(Primary: On-site, Secondary: Online) |
[Short Paper]
3D Facial Recognition for Genetic Studies based on PointNet++ Kazuma Okada, Takuma Terada, Jiaqing Liu (Ritsumeikan Univ.), Tomoko Tateyama (Fujita Health University), Ryosuke Kimura (Ryukyu Univ.), Yen Wei Chen (Ritsumeikan Univ.) |
Recently, the development of genetic research has found a relationship between human face shape and genes. By analyzing ... [more] |
ME2022-88 SIP2022-7 pp.9-11 |
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20 11:00 |
Kumamoto |
Kumamoto University (Primary: On-site, Secondary: Online) |
Accurate Image Matching with 3D Map using its Structure Yohei Hanaoka, Suwichaya Suwanwimolkul, Satoshi Komorita (KDDI Research) |
To estimate camera pose using 3D mesh data such as a 3D city model, it is necessary to accurately match 3D mesh data, in... [more] |
|
IEICE-SIP, IEICE-BioX, IEICE-IE, IEICE-MI, IST, ME [detail] |
2022-05-20 16:40 |
Kumamoto |
Kumamoto University (Primary: On-site, Secondary: Online) |
3D Medical Image Segmentation Using 2.5D Deformable Convolutional CNN Yuya Okumura, Kudo Hiroyuki, Takizawa Hotaka (Tsukuba Univ.) |
An effective method to improve the accuracy of 3D medical image segmentation using deep learning is to use deformable co... [more] |
|
AIT, IIEEJ, AS, CG-ARTS |
2022-03-08 13:50 |
Online |
Online |
An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model Hiromu Takata, Syuhei Sato, Shangce Gao, Zheng Tang (Univ. Of Toyama) |
With the recent development of deep learning techniques, many image recognition methods have been proposed for various o... [more] |
AIT2022-147 pp.393-394 |
AIT, 3DMT, OSJ-HODIC |
2021-09-03 13:35 |
Online |
|
Real-time interactive image hologram generation and display
-- Improving expressiveness of hologram with photo-realistic rendering -- Naoki Yuasa, Hiroshi Yoshikawa, Takeshi Yamaguchi (Nihon Univ.) |
HoloTV, a three-dimensional video display system, has been used to display videos since real-time computation of interfe... [more] |
AIT2021-134 3DIT2021-23 pp.5-7 |
IST, ME, IEICE-IE, IEICE-SIP, IEICE-BioX [detail] |
2021-06-04 16:00 |
Online |
Online |
Volumetric video streaming data reduction using fixed one side 3D data Xiaotian Zhao, Takafumi Okuyama (NTT) |
Volumetric video contents are getting a high attention across industries for their 6DoF viewing experience. However, in ... [more] |
IST2021-28 ME2021-59 pp.93-98 |
AIT, IIEEJ, AS, CG-ARTS |
2021-03-08 15:00 |
Online |
Online |
A Method for Supporting the Creation of Giant Characters Based on Silhouette Analysis Masaki Hayashi, Yoshihisa Kanematsu (TUT), Ryuta Motegi (TMU), Koji Mikami (TUT) |
In this study, we analyzed and classified the silhouettes of giant characters by using numerical values, and identified ... [more] |
AIT2021-120 pp.303-306 |
IIEEJ, AIT |
2020-09-17 16:18 |
Online |
|
Evaluation of Projective Distortion Robustness of Gait Analysis based on 3D Camera Parameter Calibration Daisuke Imoto, Kenji Kurosawa, Masakatsu Honma, Ryo Yokota, Manato Hirabayashi, Yoshinori Hawai (NRIPS) |
Silhouette-based gait analysis is a technique for identifying whether two pedestrian videos depict the same person. Howe... [more] |
AIT2020-169 pp.27-30 |
AIT, IIEEJ, AS, CG-ARTS |
2020-03-13 14:20 |
Tokyo |
Tokyo University of Technology (Cancelled) |
A Pose Design System for 3D Characters by Applying Retrieved Results Based on Partial Similarities Mayuko Ohi (TDU), Tokiichiro Takahashi (TDU/ASTRODESIGN,Inc.) |
Illustrators often use a model of a posed 3D character as reference for drawing illustrations. However, it is not easy f... [more] |
AIT2020-154 pp.345-348 |
HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27 17:05 |
Hokkaido |
Hokkaido Univ. (Cancelled) |
A Note on Data Augmentation Method of 3D Pose Estimation for Illustration of Anime Character Nozomi Isami, Yuji Sakamoto (Hokkaido Univ.) |
Research on 3D pose estimation from photographs of real human using machine learning have already been proposed. However... [more] |
MMS2020-24 HI2020-24 ME2020-52 AIT2020-24 pp.123-128 |
IIEEJ, AIT |
2019-09-05 14:20 |
Iwate |
Iwate Prefectural Univ. |
A Digital Surface Model Generation Method with 3D LIDAR Point Clouds Processing Yusuke Miyazaki, Munetoshi Iwakiri (NDA) |
A numerical surface layer model is digital data representing the surface shape of the ground including buildings and tre... [more] |
AIT2019-172 pp.5-8 |
IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16 10:00 |
Hokkaido |
Hokkaido Univ. |
Monocular camera localization using geo-tagged images Kazuya Iwami (The Univ. of Tokyo), Satoshi Ikehata (NII), Toshihiko Yamasaki, Kiyoharu Aizawa (The Univ. of Tokyo) |
Monocular camera localization is a fundamental task for autonomous navigation and AR/VR. However, monocular 3D reconstr... [more] |
|
ME, IEICE-IE, IPSJ-AVM [detail] |
2017-08-03 13:20 |
Tokyo |
NHK Science & Technology Research Laboratories |
[Invited Talk]
3D Image Processing Based on Light-Field/Ray-Space Method
-- from Capture to Display -- Toshiaki Fujii (Nagoya Univ.) |
The Ray Space / Light Field is a technique to represent 3D visual scenes by using ‘light rays.’ The concept was proposed... [more] |
ME2017-86 p.19 |