VR Application for Supporting Object Recognition Considering Eye in Low Vision

被引:0
作者
Oda, Tetsuya [1 ]
Shirai, Hiroaki [1 ]
Toyoshima, Kyohei [1 ]
Hirota, Masaharu [2 ]
Ozaki, Ryo [1 ]
Katayama, Kengo [1 ]
机构
[1] Okayama Univ Sci, Dept Informat & Comp Engn, Okayama, Japan
[2] Okayama Univ Sci, Dept Informat Sci, Okayama, Japan
来源
ICIET 2020: 2020 8TH INTERNATIONAL CONFERENCE ON INFORMATION AND EDUCATION TECHNOLOGY | 2020年
关键词
Low Vision; VR; Object Recognition; HEAD-MOUNTED DISPLAY; PEOPLE;
D O I
10.1145/3395245.3396232
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Most of the support systems for the visual impairment are targeted at the blind, and there are few systems that fully consider those with low vision. This may be due to the fact that the vision feature of a low vision person is different for each low vision person due to the complex relationship between visual acuity, visual field, color vision and light sensation, and that uniform support is impossible. In this paper, we propose a Virtual Reality (VR) application that supports visual acuity equal to that of persons without disabilities by performing visual correction suitable for each visual disability of low vision.
引用
收藏
页码:295 / 299
页数:5
相关论文
共 50 条
  • [41] A Cognitive Framework for Object Recognition with Application to Autonomous Vehicles
    Roche, Jamie
    De Silva, Varuna
    Kondoz, Ahmet
    INTELLIGENT COMPUTING, VOL 1, 2019, 858 : 638 - 657
  • [42] How to Select and Customize Object Recognition Approaches for an Application?
    Sorschag, Robert
    ADVANCES IN MULTIMEDIA MODELING, 2012, 7131 : 452 - 462
  • [43] Binarization Representation of Image Microstructure and the Application of Object Recognition
    Zhang Dongbo
    Chen Zhiqiang
    Yi Liangling
    Xu Haixia
    JOURNAL OF ELECTRONICS & INFORMATION TECHNOLOGY, 2018, 40 (03) : 633 - 640
  • [44] Integrating Low and High Level Object Recognition Steps
    Barta, Andras
    Vajk, Istvan
    PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 11, 2006, 11 : 126 - 131
  • [45] Eye Tracking for Low Vision Aids - Toward Guiding of Gaze
    Murai, Yasuyuki
    Kawahara, Masaji
    Tatsumi, Hisayuki
    Sekita, Iwao
    Miyakawa, Masahiro
    COMPUTERS HELPING PEOPLE WITH SPECIAL NEEDS, PROCEEDINGS, PT 2, 2010, 6180 : 308 - +
  • [46] A machine learning based intelligent vision system for autonomous object detection and recognition
    Ramik, Dominik Maximilian
    Sabourin, Christophe
    Moreno, Ramon
    Madani, Kurosh
    APPLIED INTELLIGENCE, 2014, 40 (02) : 358 - 375
  • [47] Learning of color transformation considering local illumination changes for interactive object recognition
    Makihara, Yasushi
    Shirai, Yoshiaki
    Shimada, Nobutaka
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART II-ELECTRONICS, 2007, 90 (12): : 99 - 110
  • [48] Motion Parallax Improves Object Recognition in the Presence of Clutter in Simulated Prosthetic Vision
    Qiu, Cheng
    Lee, Kassandra R.
    Jung, Jae-Hyun
    Goldstein, Robert
    Peli, Eli
    TRANSLATIONAL VISION SCIENCE & TECHNOLOGY, 2018, 7 (05):
  • [49] Toward Object Recognition and Manipulation by Human Motion Data with Vision and Tactile Sensation
    Kyo, Seinan
    Ohnishi, Kouhei
    IECON 2014 - 40TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2014, : 4074 - 4080
  • [50] Reconstructing mental object representations:: A machine vision approach to human visual recognition
    Osman, E
    Pearce, AR
    Jüttner, M
    Rentschler, I
    SPATIAL VISION, 2000, 13 (2-3): : 277 - 286