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]
Summary
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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