| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, IIEEJ, AS, CG-ARTS |
2025-03-10
15:02 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
Automatic generation of composite images with photo background images and human illustrations harmonized
Akane Togami, Motoki Kakuho, Norihiko Kawai (OIT) |
Backgrounds are essential for advertising illustrations such as posters. This is because adding a background to a person... [more] |
AIT2025-84
pp.162-165 |
| AIT, IIEEJ, AS, CG-ARTS |
2025-03-10
14:30 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano) |
Research on the Application of Pedestrian Dynamics Analysis Based on Video to Crowd Animation
Keita Kitoki, Tomokazu Ishikawa (Toyo Univ.) |
This study aims to improve the efficiency of animation production by utilizing object detection algorithms and monocular... [more] |
AIT2025-151
pp.389-390 |
| HI |
2024-03-19
14:30 |
Online |
|
An Examination on Influence of Sensory Fusion on Depth Estimation of Virtual Objects in AR
Sakurako Uchiyama, Hayata Saito, Kei Kanari, Mie Sato (Utsunomiya) |
In AR/VR, the sense of depth for the pointer itself is important because the pointer is often used to select a virtual o... [more] |
HI2024-25
pp.48-51 |
| IEICE-HIP, HI, VRPSY, ASJ-H [detail] |
2024-02-22
15:10 |
Okinawa |
|
An Examination on Distance Perception Support Using Object Oscillation in Virtual Space
Hayata Saito, Kei Kanari, Mie Sato (Utsunomiya Univ.) |
In this study, we created a method for depth estimation by oscillating objects based on the results of previous studies ... [more] |
HI2024-3
pp.10-14 |
| 3DMT |
2023-03-07
15:55 |
Tokyo |
(Primary: On-site, Secondary: Online) |
Relationship between motion parallax and cardboard effect in objects with difficult depth estimation
Kosuke Takahashi, Haruki Mizushina (Tokushima Univ.), Shiro Suyama (Utsunomiya Univ.), Kenji Yamamoto (Tokushima Univ.) |
It has been reported that the addition of a depth cue by motion parallax can reduce the cardboard effect, but experiment... [more] |
3DMT2023-22
pp.85-88 |
| ME, SIP, TOKAI |
2022-12-07
13:35 |
Aichi |
(Primary: On-site, Secondary: Online) |
Skeleton Estimation for Swing based on Deep Model by Introducing Articulation Constraints into Training
Atsuki Sakata, Shogo Kihira, Nobutaka Shimada (Ritsumeikan Univ.), Yuki Nagano, Masahiki Ueda (SRI) |
For the purpose of developing the automatic diagnosis system of players' golf swing, we propose a method for estimating ... [more] |
ME2022-91 SIP2022-10
pp.23-26 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
14:45 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Monocular Terrain Depth Estimation with Classification of Depth Distribution
Haruka Takahashi, Yuki Endo, Yoshihiro Kanamori, Jun Mitani (Univ. of Tsukuba) |
We propose a method for estimating depth from single-view terrain landscapes using convolutional neural networks (CNNs).... [more] |
AIT2020-66
pp.65-68 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
09:45 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Fish body measurement by depth estimation for automatic feeding of aquaculture
Kaito Hattori, Nobuo Ezaki, Motonori Saeki (NITTC), Osamu Takahashi (ISE C.L), Tatsuhiko Sakamoto (Mie Univ.) |
In the automatic feeding system for aquaculture such as red sea snapper and yellowtail, the amount of feed is calculated... [more] |
MMS2020-1 HI2020-1 ME2020-29 AIT2020-1
pp.1-5 |
| 3DMT, IDY, IST [detail] |
2019-12-20
14:55 |
Aichi |
NHK Nagoya Station |
Depth from Focal Stack by Deep Neural Network
Chen Baihui, Takahashi Keita, Fujii Toshiaki (Nagoya Univ.) |
Light field theory is a heated topic in computer vision. Focal stack is one of the one of the most significant character... [more] |
IST2019-62 IDY2019-62 3DIT2019-37
pp.17-19 |
| IEICE-IE, IEICE-CS, IPSJ-AVM, BCT [detail] |
2019-12-06
10:10 |
Iwate |
Aiina Center |
Adversarial Examples for Monocular Depth Estimation CNN
Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) |
Adversarial examples for classification and object recognition problems using convolutional neural net- works (CNN) have... [more] |
|
| IEICE-SIS, IPSJ-AVM, 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.) |
Depth estimation from a single shot image have become accurate drastically after emergence of deep
neural networks that... [more] |
|
| HI, VRPSY |
2017-11-25
10:30 |
Ishikawa |
Kanazawa Institute of Technology |
Effect of virtual arm's reach in depth estimation in virtual environment
Akihiro Nakamura, Kazunori Shidoji (Kyushu Univ.) |
Generally, it is considered that the body’s actions act as a perceptual ruler, which is used to measure perceived distan... [more] |
HI2017-77
pp.39-42 |
| ME |
2016-02-20
14:40 |
Kanagawa |
Kanto Gakuin Univ. |
High-Accuracy Projection Mapping with a Low-Cost Depth Sensor
Yohei Aoki (UEC), Keisuke Maruyama (Kyorin Univ.), Naoki Hashimoto (UEC) |
Recently, projection mapping which can change the looks of an object by projecting images attracts attention. In order t... [more] |
ME2016-24
pp.89-92 |
| ME |
2016-02-20
14:55 |
Kanagawa |
Kanto Gakuin Univ. |
Realizing dynamic spatial augmented reality using High-Speed key point detection
Naoya Niwata, Naoki Hashimoto (UEC) |
Recently, spatial augmented reality(SAR) has been used as a method of editing appearance of real objects by using a proj... [more] |
ME2016-25
pp.93-96 |