Natural video matting using camera arrays

Neel Joshi, Wojciech Matusik, Shai Avidan

Research output: Contribution to journalConference articlepeer-review

Abstract

We present an algorithm and a system for high-quality natural video matting using a camera array. The system uses high frequencies present in natural scenes to compute mattes by creating a synthetic aperture image that is focused on the foreground object, which reduces the variance of pixels reprojected from the foreground while increasing the variance of pixels reprojected from the background. We modify the standard matting equation to work directly with variance measurements and show how these statistics can be used to construct a trimap that is later upgraded to an alpha matte. The entire process is completely automatic, including an automatic method for focusing the synthetic aperture image on the foreground object and an automatic method to compute the trimap and the alpha matte. The proposed algorithm is very efficient and has a per-pixel running time that is linear in the number of cameras. Our current system runs at several frames per second, and we believe that it is the first system capable of computing high-quality alpha mattes at near real-time rates without the use of active illumination or special backgrounds.

Original languageEnglish
Pages (from-to)779-786
Number of pages8
JournalACM Transactions on Graphics
Volume25
Issue number3
DOIs
StatePublished - Jul 2006
Externally publishedYes
EventACM SIGGRAPH 2006 - Boston, MA, United States
Duration: 30 Jul 20063 Aug 2006

Keywords

  • Alpha Malting and Compositing
  • Iimage-Based Rendering
  • Light Fields

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