Diminished reality using plane-sweep algorithm with weakly-calibrated cameras

Songkran Jarusirisawad, Takahide Hosokawa, Hideo Saito

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

We present a plane-sweep algorithm for removing occluding objects in front of the objective scene from multiple weakly-calibrated cameras. Projective grid space (PGS), a weak cameras calibration framework, is used to obtain geometrical relations between cameras. Plane-sweep algorithm works by implicitly reconstructing the depth maps of the targeted view. By excluding the occluding objects from the volume of the sweeping planes, we can generate new views without the occluding objects. The results show the effectiveness of the proposed method and it is fast enough to run in several frames per second on a consumer PC by implementing the proposed plane-sweep algorithm in graphics processing unit (GPU).

Original languageEnglish
Pages (from-to)11-20
Number of pages10
JournalProgress in Informatics
Issue number7
DOIs
Publication statusPublished - 2010 Mar

Keywords

  • Diminished reality
  • Graphics processing unit (GPU)
  • Plane-sweep
  • Real-time
  • Video-based rendering

ASJC Scopus subject areas

  • Computer Science(all)
  • Library and Information Sciences

Fingerprint Dive into the research topics of 'Diminished reality using plane-sweep algorithm with weakly-calibrated cameras'. Together they form a unique fingerprint.

  • Cite this