Juliet Fiss1 Brian Curless1 Richard Szeliski2 |
1University of Washington 2Microsoft Research |
Juliet Fiss, Brian Curless, Rick Szeliski; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, pp. 623-631 CVPR 2015 [BibTex]
Abstract
In this paper, we use matting to separate foreground layers
from light fields captured with a plenoptic camera. We
represent the input 4D light field as a 4D background light
field, plus a 2D spatially varying foreground color layer
with alpha. Our method can be used to both pull a foreground
matte and estimate an occluded background light
field. Our method assumes that the foreground layer is thin
and fronto-parallel, and is composed of a limited set of colors
that are distinct from the background layer colors. Our
method works well for thin, translucent, and blurred foreground
occluders. Our representation can be used to render
the light field from novel views, handling disocclusions
while avoiding common artifacts.
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