Research paper, entitled “Image Recoloring for Red-Green Dichromats with Compensation Range based Naturalness Preservation and Refined Dichromacy Gamut”, was accepted by Computer Graphics International 2022 (CGI2022) (accepted paper will be published on the international journal The Visual Computer (IF: 2.601(2022)))
未分類
Shota Chiba receives Student Encouragement Award at IPSJ 83rd National Convention
Shota Chi, a fourth-year bachelor’s student at the Professor Mao Laboratory at the University of Yamanashi, received the Student Encouragement Award at the 84rd IPSJ National Convention for his research “Automatic Prediction for Meat Cooking using Deep Learning.”
Acceptance of FY2022 Hiroshima Smart Agriculture Promotion Project
Following the study on grape, we will conduct empirical research on Lemon Cultivation using Artificial Intelligence (AI) and Augmented-Reality (AR) techniques.
Study on Computational Glasses received Grant-in-Aid for Scientific Research (A)
We will continuously engage in study on compensation for people with color vision deficiency based on the latest techniques of Deep Learning (DL) and Augmented-Reality (AR).
DNN-based Meter Automatic Reading Paper Accepted by IEEE Access
Paper “Generative Data Augmentation for Automatic Meter Reading Using CNNs” has been accepted by IEEE Access journal (IF: 3.367(2020)).
The Japan Times and several other newspapers reported our smart agriculture project
The Japan Times, November 8, 2021
“A research team in the faulty of engineering at the University of Yamanashi, headed by professor Xiaoyang, developed a device that can perform so-called berry thinning in which clusters of grapes are removed to allow space for those that remain to grow larger”
Nishinippon Shimbun (西日本新聞), November 18, 2021
Hokkaido Shimbun (北海道新聞), November 18, 2021
The Japan Agriculture News, September 17, 2021
National Agricultural News, September 17, 2021
It is difficult for beginners to thin a grapes as well as skilled farmers because of the experience and training are required. The development of “smart glasses” that transform beginners into skilled farmers is progressing.
National Agricultural News, September 11, 2021
A Survey Paper on Color Vision Compensation Accepted by The Visual Computer
Zhenyang Zhu, Xiaoyang Mao, “Image Recoloring for Color Vision Deficiency Compensation: A Survey,” The Visual Computer, 2021. (IF:2.601(2020), First-online 2021-07-14, PDF)
Paper on the compensation of metamorphopsia was accepted for the 2021 International Conference on Cyberworlds (CW2021)
Paper on the compensation of metamorphopsia was accepted for the 2021 International Conference on Cyberworlds (CW2021)
TITLE: Eye-Tracker-Free Compensation for Metamorphopsia
AUTHORS: Katsuhito Moritake, Zhenyang Zhu, Masahiro Toyoura, Kentaro Go, Kenji Kashiwagi, Issei Fujishiro and Xiaoyang Mao
Smart agriculture project’s full paper was accepted for the 2021 International Conference on Cyberworlds (CW2021)
Smart agriculture project’s full paper was accepted for the 2021 International Conference on Cyberworlds (CW2021)
TITLE: End-to-End Inflorescence Measurement for Supporting Table Grape Trimming with Augmented Reality
AUTHORS: Prawit Buayai, Kabin Yok-In, Daisuke Inoue, Chee Siang Leow, Hiromitsu Nishizaki, Koji Makino and Xiaoyang Mao
CVD Compensation Paper Available until July 4, 2021!
Paper
- Fast Contrast and Naturalness Preserving Image Recolouring for Dichromats
Authors
- Xinyi Wang, Zhenyang Zhu, Xiaodiao Chen, Kentaro Go, Masahiro Toyoura, Xiaoyang Mao
Journal
- Computers & Graphics, Volume 98, August 2021, Pages 19-28.
Available Period
- Until July 4, 2021
Link
Accepted for The Computer Vision 2021
2021年5月9日にThe Computer Vision 2021にて”Enhancing Edge Indicator for Visual Field Loss Compensation for Homonymous Hemianopia Patients Using Edge Indicator”が採択されました。
下記URLにて論文が公開されています。
Keisuke ICHINOSE, Xi ZHAO, Issei FUJISHIRO, Masahiro TOYOURA, Kenji KASHIWAGI, Kentaro GO, Xiaoyang MAO, “Enhancing Edge Indicator for Visual Field Loss Compensation for Homonymous Hemianopia Patients Using Edge Indicator”, The Computer Vision, First online 2021-05-09. (DOI 10.1007/s00371-021-02156-9)