Point-Cloud Rendering for Video See-Through Augmented Reality

Jinwoo Choi, Jung Hyun Han

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

Abstract

In the context of the video see-through augmented reality, the real-world scene captured by the camera should be rendered suitably for stereoscopic display. This paper proposes a real-time rendering method for stereoscopic images using a commodity RGBD camera. It casts a ray toward each pixel and the 3D points close to the ray are interpolated. This method successfully fills the holes in the stereoscopic images.

Original languageEnglish
Title of host publicationVirtual Reality and Augmented Reality - 16th EuroVR International Conference, EuroVR 2019, Proceedings
EditorsPatrick Bourdot, Victoria Interrante, Luciana Nedel, Nadia Magnenat-Thalmann, Gabriel Zachmann
PublisherSpringer
Pages320-323
Number of pages4
ISBN (Print)9783030319076
DOIs
Publication statusPublished - 2019 Jan 1
Event16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019 - Tallinn, Estonia
Duration: 2019 Oct 232019 Oct 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11883 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019
CountryEstonia
CityTallinn
Period19/10/2319/10/25

Keywords

  • Augmented reality
  • Depth image
  • Hole filling
  • Video see-through

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Choi, J., & Han, J. H. (2019). Point-Cloud Rendering for Video See-Through Augmented Reality. In P. Bourdot, V. Interrante, L. Nedel, N. Magnenat-Thalmann, & G. Zachmann (Eds.), Virtual Reality and Augmented Reality - 16th EuroVR International Conference, EuroVR 2019, Proceedings (pp. 320-323). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11883 LNCS). Springer. https://doi.org/10.1007/978-3-030-31908-3_22