Abstract
A conventional camera captures blurred versions of scene information away from the plane of focus. Camera systems have been proposed that allow for recording all-focus images, or for extracting depth, but to record both simultaneously has required more extensive hardware and reduced spatial resolution. We propose a simple modification to a conventional camera that allows for the simultaneous recovery of both (a) high resolution image information and (b) depth information adequate for semi-automatic extraction of a layered depth representation of the image. Our modification is to insert a patterned occluder within the aperture of the camera lens, creating a coded aperture. We introduce a criterion for depth discriminability which we use to design the preferred aperture pattern. Using a statistical model of images, we can recover both depth information and an all-focus image from single photographs taken with the modified camera. A layered depth map is then extracted, requiring user-drawn strokes to clarify layer assignments in some cases. The resulting sharp image and layered depth map can be combined for various photographic applications, including automatic scene segmentation, post-exposure refocusing, or re-rendering of the scene from an alternate viewpoint.
Original language | English (US) |
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DOIs | |
State | Published - 2007 |
Event | 34th Annual Meeting of the Association for Computing Machinery's Special Interest Group on Graphics - San Diego, CA, United States Duration: Aug 5 2007 → Aug 9 2007 |
Other
Other | 34th Annual Meeting of the Association for Computing Machinery's Special Interest Group on Graphics |
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Country/Territory | United States |
City | San Diego, CA |
Period | 8/5/07 → 8/9/07 |
Keywords
- Coded imaging
- Computational photography
- Deblurring
- Depth of field
- Image statistics
- Range estimation
ASJC Scopus subject areas
- General Computer Science