Depth-of-field-based alpha-matte extraction

  • Authors:
  • Erik Reinhard;Erum Arif Khan

  • Affiliations:
  • University of Central Florida;University of Central Florida

  • Venue:
  • APGV '05 Proceedings of the 2nd symposium on Applied perception in graphics and visualization
  • Year:
  • 2005

Quantified Score

Hi-index 0.01

Visualization

Abstract

In compositing applications, objects depicted in images frequently have to be separated from their background, so that they can be placed in a new environment. Alpha mattes are important tools aiding the selection of objects, but cannot normally be created in a fully automatic way. We present an algorithm that requires as input two images---one where the object is in focus, and one where the background is in focus---and then automatically produces an alpha matte indicating which pixels belong to the object. This algorithm is inspired by human visual processing and involves nonlinear response compression, center-surround mechanisms as well as a filling-in stage. The output can then be refined with standard computer vision techniques.