Abstract

Defocus matting is a fully automatic and passive method for pulling mattes from video captured with coaxial cameras that have different depths of field and planes of focus. Nonparametric sampling can accelerate the video-matting process from minutes to seconds per frame. In addition a super-resolution technique efficiently bridges the gap between mattes from high-resolution video cameras and those from low-resolution cameras. Off-center matting pulls mattes for an external high-resolution camera that doesn't share the same center of projection as the low-resolution cameras used to capture the defocus matting data.

Highlights

  • The Harvard community has made this article openly available

  • ■ Defocus matting is impractical for photographers, who might be reluctant to place a beam splitter between their high-definition, high-quality cameras and the scene. We address these limitations and extend defocus matting in several important ways

  • We describe the resulting point-spread function (PSF) or circle of confusion as: ( ) r = f zR zF − f ( ) 2σφ zF zR − f −1 where the camera is focused at depth zF, the point is at zR, ␾ is the f-number, f is the focal length, and ␴ is the width of a pixel.[2]

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Summary

Introduction

The Harvard community has made this article openly available. Please share how this access benefits you. Neel, Wojciech Matusik, Shai Avidan, Hanspeter Pfister, and William T. Exploring defocus matting: Nonparametric acceleration, super-resolution, and off-center matting. IEEE Computer Graphics and Applications 27(2): 43-52. Image matting and compositing are important operations in image editing, photography, and film production. Matting separates a foreground element from an image by estimating a color, F, and an opacity, ␣, for each foreground pixel. Captured with coaxial cameras that have different depths of field and planes of focus.

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