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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| HIP | 2021-10-21 16:10 |
Online | Online | Temporal integration of spatially distributed disparities Fumiya Haraguchi, Rumi Hisakata, Hirohiko Kaneko (Tokyo Tech)  HIP2021-37 |
The human visual system integrates information presented with temporal differences. For example, in slit viewing or segm... [more] | HIP2021-37 pp.40-43 |
| HIP | 2021-10-21 17:00 |
Online | Online | Depth-fused 3D between virtual and real objects by utilizing head-mounted displays Masahiro Suzuki (Seisen Univ.), Yuya Kakurai (Kanagawa Inst. Tech.), Hideaki Takada (Nagasaki Univ.), Kazutake Uehira (Kanagawa Inst. Tech.) HIP2021-39 |
We examined Depth-Fused 3D (DFD) between real objects and virtual objects by utilizing Optical See-Through Head-Mounted ... [more] | HIP2021-39 pp.50-53 |
| IA | 2021-09-08 13:00 |
Online | Online | Development and Evaluation of an Abnormal Condition Detection System during Snow Removal Operations based on Behavioral Sensing of Operators Kenya Sugimoto, Hiroshi Yamamoto (Ritsumeikan Univ.), Yoshinori Kitatsuji (KDDI Research, Inc.) IA2021-19 |
Snow removal operations by snowplows in Japan's snowy and cold regions play an important role for securing social activi... [more] | IA2021-19 pp.29-35 |
| 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 |
| CCS | 2021-03-29 15:40 |
Online | Online | A 3DCNN with Reduced Parameters Using Depthwise Separable Convolution Koki Ito, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2020-27 |
Convolutional Neural Networks (CNNs) have been used in various fields such as image and speech. In recent years, CNNs ha... [more] | CCS2020-27 pp.37-41 |
| 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 |
| SIS | 2021-03-04 14:10 |
Online | Online | Hardware Implementation of Object Recognition Neural Network using Depth Images Yuma Yoshimoto (Kyutech/JSPS Research Fellow), Hakaru Tamukoh (Kyutech/Research Center for Neuromorphic AI Hardware) SIS2020-47 |
In this study, we propose an object recognition neural network using depth images, implemented on an FPGA for service ro... [more] | SIS2020-47 pp.67-70 |
| EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] | 2021-01-28 13:25 |
Online | Online | 3D Image Depth Enlargement in Large and Long-Viewing Distance Edge-Based DFD Display by Blurring Edge Images Hideto Matsubara, Shiro Suyama, Haruki Mizushina (Tokushima Univ.) EID2020-20 |
We can successfully extend depth-fusion limit of front-rear gap from two image depths to one perceived depth by blurring... [more] | EID2020-20 pp.21-24 |
| 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 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 11:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
IMQ2019-57 IE2019-139 MVE2019-78 |
In this research, we examine a method for correcting the measurement value of a low-cost but low-accuracy 3D measuring i... [more] | IMQ2019-57 IE2019-139 MVE2019-78 pp.215-220 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 15:20 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Facial Expression Recognition with Application of Augmented Reality Technologyon Amusement of Human Body Model in Virtual Reality with Converted Appearanceof Oneself Operated by Whole Body Motion Yang Bowen, Ikoma Norikazu (NIT) CQ2019-157 |
As an amusement that can be played in response to human motion in real time, the face of tester is beautified from image... [more] | CQ2019-157 pp.119-123 |
| 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] | |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 16:50 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Depth perception when a stereoscopic target is occluded on both sides or one side by the foreground Nobutaka Natsui, Hisaki Nate, Kazuo Isikawa (Tokyo Polytechnic Univ.) |
When we shoot and observe binocular stereoscopic images, problems such as unnatural stereoscopic effects and strangeness... [more] | |
| EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] | 2020-01-23 13:30 |
Tottori | Tottori Univ. | [Poster Presentation]
Enlargement of far depth perception by increasing real display position from subject in Head Mounted Display Yuki Abiko, Shiro Suyama, Haruki Mizushina (Tokushima Univ.) |
By setting optically the display position to far enough in Head Mounted Display. maximum perceived depth can be successf... [more] | |
| EID, ITE-IDY, IEIJ-SSL, SID-JC, IEE-EDD [detail] | 2020-01-24 10:35 |
Tottori | Tottori Univ. | [Poster Presentation]
Viewing area and depth fusion area of 3D image at large observation distance over 5 m in Non-overlapped DFD (Depth-fused 3D) display, Seishiro Mukaeyama, Rui Takano, Haruki Mizushina, Shiro Suyama (Tokushima Univ.) |
We have clarified the possibility of enlarging the viewing angle and depth between front and rear planes in Non-overlapp... [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 |
| HIP | 2019-10-30 15:25 |
Kyoto | Kyoto Terrsa | Real-Object DFD (Depth-fused 3D) display Can Successfully Achieve Perceived Depth Change of Rear Real Object Occluded by Front Real Object and Low Luminance Real Object near Black Oku Iwamoto, Haruki Mizushina, Shiyo Suyama (Tokushima Univ.) HIP2019-52 |
Depth-fused 3D display can successfully change perceived depth of occluded rear real object from behind rear object to i... [more] | HIP2019-52 pp.25-29 |
| NLP | 2019-09-23 10:40 |
Kochi | Eikokuji Campus, University of Kochi | Image Classification of Datasets Composed of Depth Prediction Images and Edge Extraction Images using Convolutional Neural Network Shu Sumimoto, Yuichi Miyata, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2019-38 |
In this study, we classify images by using Convolutional Neural Network. We aim at differentiating humans or cars. Datase... [more] | NLP2019-38 pp.19-22 |
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