NDLI: Extracting depth and matte using a color-filtered aperture

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Extracting depth and matte using a color-filtered aperture

Content Provider	ACM Digital Library
Author	Chen, Bing-Yu Nishita, Tomoyuki Bando, Yosuke
Abstract	This paper presents a method for automatically extracting a scene depth map and the alpha matte of a foreground object by capturing a scene through RGB color filters placed in the camera lens aperture. By dividing the aperture into three regions through which only light in one of the RGB color bands can pass, we can acquir three shifted views of a scene in the RGB planes of an image in a single exposure. In other words, a captured image has depth-dependent color misalignment. We develop a color alignment measure to estimate disparities between the RGB planes for depth reconstruction. We also exploit color misalignment cues in our matting algorithm in order to disambiguate between the foreground and background regions even where their colors are similar. Based on the extracted depth and matte, the color misalignment in the captured image can be canceled, and various image editing operations can be applied to the reconstructed image, including novel view synthesis, postexposure refocusing, and composition over different backgrounds.
Starting Page	1
Ending Page	9
Page Count	9
File Format	PDF QT / MOV
ISBN	9781450318310
DOI	10.1145/1457515.1409087
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-12-10
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Color correlation Alpha matting Computational camera Color filters Computational photography Depth estimation
Content Type	Video Text
Resource Type	Article

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