Panoannotator a semi-automatic tool for indoor panorama layout annotation

Shang Ta Yang, Chi Han Peng, Peter Wonka, Hung Kuo Chu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We present PanoAnnotator, a semi-automatic system that facilitates the annotation of 2D indoor panoramas to obtain high-quality 3D room layouts. Observing that fully-automatic methods are often restricted to a subset of indoor panoramas and generate room layouts with mediocre quality, we instead propose a hybrid method to recover high-quality room layouts by leveraging both automatic estimations and user edits. Specifically, our system first employs state-of-the-art methods to automatically extract 2D/3D features from input panorama, based on which an initial Manhattan world layout is estimated. Then, the user can further edit the layout structure via a set of intuitive operations, while the system will automatically refine the geometry according to the extracted features. The experimental results show that our automatic initialization outperforms a selected fully-automatic state-of-the-art method in producing room layouts with higher accuracy. In addition, our complete system reduces annotation time when comparing with a fully-manual tool for achieving the same high quality results.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2018 Posters, SA 2018
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450360630
DOIs
StatePublished - 4 Dec 2018
EventSIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018 - Tokyo, Japan
Duration: 4 Dec 20187 Dec 2018

Publication series

NameSIGGRAPH Asia 2018 Posters, SA 2018

Conference

ConferenceSIGGRAPH Asia 2018 Posters - International Conference on Computer Graphics and Interactive Techniques, SA 2018
CountryJapan
CityTokyo
Period4/12/187/12/18

Keywords

  • Annotation
  • Layout
  • Modeling
  • Panorama
  • Scene

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