TeeVR: Spatial template-based acquisition, modeling, and rendering of large-scale indoor spaces

Nathan Doh, Hyunga Choi, Bumchul Jang, Sangmin Ahn, Hyojin Jung, Sungkil Lee

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

7 Citations (Scopus)

Abstract

Conventional image-based rendering has limited applicability for large-scale spaces. In this study, we demonstrate an efficient alternative to conventional image-based rendering. Our key approach is based on a spatial template (ST), which solely includes architectural geometric primitives. The predictability of ST improves the efficiency of acquisition, storage, and rendering. Thereby, our system can be applied to the modeling and rendering of larger indoor spaces.

Original languageEnglish
Title of host publicationACM SIGGRAPH 2019 Emerging Technologies, SIGGRAPH 2019
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450363082
DOIs
Publication statusPublished - 2019 Jul 28
EventACM SIGGRAPH 2019 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019 - Los Angeles, United States
Duration: 2019 Jul 28 → …

Publication series

NameACM SIGGRAPH 2019 Emerging Technologies, SIGGRAPH 2019

Conference

ConferenceACM SIGGRAPH 2019 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019
Country/TerritoryUnited States
CityLos Angeles
Period19/7/28 → …

Keywords

  • 3D modeling
  • Image-based rendering
  • Indoor spaces
  • Robot
  • VR

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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