Flash matting

  • Authors:
  • Jian Sun;Yin Li;Sing Bing Kang;Heung-Yeung Shum

  • Affiliations:
  • Microsoft Research Asia, Beijing;Microsoft Research Asia, Beijing;Microsoft Research, Redmond, WA;Microsoft Research Asia, Beijing

  • Venue:
  • ACM SIGGRAPH 2006 Papers
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we propose a novel approach to extract mattes using a pair of flash/no-flash images. Our approach, which we call flash matting, was inspired by the simple observation that the most noticeable difference between the flash and no-flash images is the foreground object if the background scene is sufficiently distant. We apply a new matting algorithm called joint Bayesian flash matting to robustly recover the matte from flash/no-flash images, even for scenes in which the foreground and the background are similar or the background is complex. Experimental results involving a variety of complex indoors and outdoors scenes show that it is easy to extract high-quality mattes using an off-the-shelf, flash-equipped camera. We also describe extensions to flash matting for handling more general scenes.