Legibility estimation for projected AR contents

Naoyuki Kazuta, Toru Abe, Takuo Suganuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Projected Augmented Reality (projected AR) is technology that directly overlays digital contents onto physical objects by using projectors. When texts are projected as the AR contents, their legibility is one of the most vital matters. Accordingly, several projector-camera systems have been proposed for improving the legibility of projected contents, where projection conditions are adjusted according to the legibility estimated from captured images of projected contents. This paper proposes a novel method for estimating the legibility of projected contents, which takes into account the effect of a patterned projection surface by using edge information in the captured images of projected contents.

Original languageEnglish
Title of host publication2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages615-616
Number of pages2
ISBN (Electronic)9781728198026
DOIs
Publication statusPublished - 2020 Oct 13
Event9th IEEE Global Conference on Consumer Electronics, GCCE 2020 - Kobe, Japan
Duration: 2020 Oct 132020 Oct 16

Publication series

Name2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020

Conference

Conference9th IEEE Global Conference on Consumer Electronics, GCCE 2020
CountryJapan
CityKobe
Period20/10/1320/10/16

Keywords

  • augmented reality
  • content legibility
  • edge information
  • projector-camera system

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition

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