Multiview visibility estimation for image-based modeling

Liu Xin Zhang*, Ming Tao Pei, Yun De Jia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

In this paper, we investigate the problem of determining regions in 3D scene visible to some given viewpoints when obstacles are present in the scene. We assume that the obstacles are composed of some opaque objects with closed surfaces. The problem is formulated in an implicit framework where the obstacles are represented by a level set function. The visible and invisible regions of the given viewpoints are determined through an efficient implicit ray tracing technique. As an extension of our approach, we apply the multiview visibility estimation to an image-based modeling technique. The unknown scene geometry and multiview visibility information are incorporated into a variational energy functional. By minimizing the energy functional, the true scene geometry as well as the accurate visibility information of the multiple views can be recovered from a number of scene images. This makes it feasible to handle the visibility problem of multiple views by our approach when the true scene geometry is unknown.

Original languageEnglish
Pages (from-to)1000-1010
Number of pages11
JournalJournal of Computer Science and Technology
Volume26
Issue number6
DOIs
Publication statusPublished - Nov 2011

Keywords

  • Image-based modeling
  • Implicit surface
  • Level set
  • Multiple views
  • Visibility estimation

Fingerprint

Dive into the research topics of 'Multiview visibility estimation for image-based modeling'. Together they form a unique fingerprint.

Cite this