[POSTER] Toward enhancing robustness of DR system: Ranking model for background inpainting

Mariko Isogawa, Dan Mikami, Kosuke Takahashi, Akira Kojima

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

1 Citation (Scopus)

Abstract

A method for blindly predicting inpainted image quality is proposed for enhancing the robustness of diminished reality (DR), which uses inpainting to remove unwanted objects by replacing them with background textures in real time. The method maps from inpainted image features to subjective image quality scores without the need for reference images. It enables more complex background textures to be applied to DR.

Original languageEnglish
Title of host publicationProceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015
EditorsNobuchika Sakata, Richard Newcombe, Robert Lindeman, Christian Sandor, Walterio Mayol-Cuevas, Veronica Teichrieb
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-179
Number of pages2
ISBN (Electronic)9781467376600
DOIs
Publication statusPublished - 2015 Nov 11
Externally publishedYes
Event14th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015 - Fukuoka, Japan
Duration: 2015 Sep 292015 Oct 3

Publication series

NameProceedings of the 2015 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015

Other

Other14th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2015
Country/TerritoryJapan
CityFukuoka
Period15/9/2915/10/3

Keywords

  • H.5.1 [Information Interfaces and Presentation]
  • Image Processing and Computer Vision-Applications
  • Multimedia Information Systems-Artificial, augmented, and vir- tual realitiesI.4.9 [Computing Methodologies]

ASJC Scopus subject areas

  • Computer Science Applications
  • Modelling and Simulation
  • Computer Graphics and Computer-Aided Design

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