Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 15:20 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Improved PSMNet for accurate disparity estimation for objects at close range Kazuma Nishimura, Hideaki Kimata (Kogakuin Univ.) IMQ2023-32 IE2023-87 MVE2023-61 |
Depth estimation using stereo cameras has been used in various fields. Stereo cameras with narrow baselines are now avai... [more] |
IMQ2023-32 IE2023-87 MVE2023-61 pp.108-113 |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-13 16:20 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Detection and Evaluation of Road Damage Potholes Using Monocular Depth Estimation Yoshinori Kumagai, Tomoya Fujii, Rie Jinki, Yuukou Horita (Univ. of Toyama) IMQ2023-34 IE2023-89 MVE2023-63 |
In recent years, the number of pavement dents and potholes has increased due to the ageing of roads, and these are a con... [more] |
IMQ2023-34 IE2023-89 MVE2023-63 pp.120-125 |
MI |
2024-03-03 17:18 |
Okinawa |
OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
3D shape reconstruction of colon with model-based unsupervised depth estimation Natsu Onozaka (Nagoya Univ.), Hayato Itoh (Fukuoka Univ.), Masahiro Oda (Nagoya Univ.), Masashi Misawa (Showa Univ.), Yuichi Mori (UiO), Shin-ei Kudo (Showa Univ.), Kensaku Mori (Nagoya Univ.) MI2023-60 |
We propose unsupervised trainig for the pose estimation in 3D reconstrcution of the colon from colonoscopic images by cl... [more] |
MI2023-60 pp.87-90 |
SeMI, IPSJ-UBI, IPSJ-MBL |
2024-02-29 15:10 |
Fukuoka |
|
Evaluation Experiment of Display Camera Visible Light Communication Using Adversarial Examples on a Monocular Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2023-75 |
Hidden display-camera visible light communication is a method of embedding data in visual information such as images and... [more] |
SeMI2023-75 pp.25-30 |
MICT, WBS, RCC, SAT (Joint) [detail] |
2023-05-26 10:50 |
Tokyo |
TOKYO BIG SIGHT (Primary: On-site, Secondary: Online) |
Simulation Evaluation of Hidden Screen-Camera Visible Light Communications Using Adversarial Examples on Depth Estimation Model Changseok Lee, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) WBS2023-6 RCC2023-6 |
A screen-camera communication has been proved that it is cost-efficient and intuitive to common users. Furthermore, hidd... [more] |
WBS2023-6 RCC2023-6 pp.29-34 |
IMQ |
2023-05-19 15:15 |
Tokyo |
Seikei Univ. |
Judgement of out-of-bounds in basketball by object detection and depth estimation Ryoma Ishida, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2023-1 |
In this report, we propose a system which performs judgements of out-of-bounds in basketball using a monocular camera im... [more] |
IMQ2023-1 pp.1-6 |
EMM |
2023-03-02 13:00 |
Nagasaki |
Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Improvement of human flow measurement using flor estimation on depth images Takuya Nagatoshi, Michiharu Niimi (KIT) EMM2022-74 |
Measuring human flow to determine the number of people and flow lines in a space is a useful decision-making tool when c... [more] |
EMM2022-74 pp.38-43 |
IA |
2023-01-25 16:20 |
Osaka |
Osaka Umeda Campus, Kwansei Gakuin University (Osaka) (Primary: On-site, Secondary: Online) |
Implementation of an AR Virtual Space System with Dynamic Background Replacement Based on Estimated Depth Yoshihiro Tsuboki, Tomoya Kawakami (Univ. of Fukui), Satoru Matsumoto, Tomoki Yoshihisa (Osaka Univ.), Yuuichi Teranishi (NICT/Osaka Univ.) IA2022-74 |
Augmented reality (AR) technology is attracting attention in various fields and is also used in the entertainment field,... [more] |
IA2022-74 pp.43-48 |
HIP |
2022-10-17 15:45 |
Kyoto |
Kyoto Terrsa (Primary: On-site, Secondary: Online) |
[Invited Talk]
Numerosity Perception in a 3-D Space Saori Aida (Yamaguchi Univ.) HIP2022-49 |
Humans and animals have the ability to estimate numerosity. There are three subprocesses in the numerosity perception pr... [more] |
HIP2022-49 pp.14-17 |
SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS |
2022-05-26 10:03 |
Okinawa |
(Primary: On-site, Secondary: Online) |
An Initial Study on Display-to-Camera Communication Systems Using Adversarial Attack on CNN Depth Estimation Model Lee Changseok, Hiraku Okada (Nagoya Univ.), Tadahiro Wada (Shizuoka Univ.), Chedlia Ben Naila, Masaaki Katayama (Nagoya Univ.) SeMI2022-2 |
Hidden screen-camera communication requires visual quality and robust communication performance. In this study, we demon... [more] |
SeMI2022-2 pp.5-10 |
PRMU, IPSJ-CVIM |
2022-05-13 14:50 |
Aichi |
Toyota Technological Institute |
Addressing Uncertain Radar-measurement Directions by Supervision using LiDAR Masaya Kotani, Norimichi Ukita (TTI) PRMU2022-6 |
In recent years, research on multimodal deep learning-based object detection and depth estimation methods using millimet... [more] |
PRMU2022-6 pp.30-35 |
IA, ICSS |
2021-06-21 14:30 |
Online |
Online |
Development and evaluation of growth estimation sensing system for aquaponics using multiple types of depth cameras Ryota Murakami, Hiroshi Yamamoto (Ritsumeikan Univ.) IA2021-4 ICSS2021-4 |
The traditional agricultural work is a heavy burden for the elderly, hence there is an urgent need to automate and impro... [more] |
IA2021-4 ICSS2021-4 pp.20-26 |
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 |
AI |
2020-12-10 13:30 |
Shizuoka |
Online and HAMAMATSU ACT CITY (Primary: On-site, Secondary: Online) |
Study on Depth Estimation from 4D Light Field Videos Takahiro Kinoshita, Satoshi Ono (Kagoshima Univ.) AI2020-1 |
Depth (disparity) estimation from 4D Light Field (LF) images has been a research topic for the last couple of years. Mos... [more] |
AI2020-1 pp.1-6 |
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] |
2020-02-27 09:45 |
Hokkaido |
Hokkaido Univ. (Cancelled but technical report was issued) |
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] |
|
IPSJ-SLDM, RECONF, VLD, CPSY, IPSJ-ARC [detail] |
2020-01-22 17:45 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University |
An FPGA Implementation of Monocular Depth Estimation Youki Sada, Masayuki Shimoda, Shimpei Sato, Hiroki Nakahara (titech) VLD2019-66 CPSY2019-64 RECONF2019-56 |
Among a lot of image recognition applications, Convolutional Neural Network (CNN) has gained high accuracy and increasin... [more] |
VLD2019-66 CPSY2019-64 RECONF2019-56 pp.73-78 |
PRMU |
2019-12-20 15:55 |
Oita |
|
Occlusion-Robust Pose-Feature Representation Learning for Object Pose Estimation from a Depth Image Hiroki Tatemichi, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.), Ayako Amma (Toyota) PRMU2019-62 |
In order for a robot to carry an object, it is necessary to estimate the pose of the object. However, when an object is ... [more] |
PRMU2019-62 pp.99-104 |
IE, CS, IPSJ-AVM, ITE-BCT [detail] |
2019-12-06 10:10 |
Iwate |
Aiina Center |
Adversarial Examples for Monocular Depth Estimation Koichiro Yamanaka, Ryutaroh Matsumoto, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) CS2019-83 IE2019-63 |
Adversarial examples for classification and object recognition problems using convolutional neural net- works (CNN) have... [more] |
CS2019-83 IE2019-63 pp.91-95 |
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 |