The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Image and depth from a conventional camera with a coded aperture
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.
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Cites
Fast approximate energy minimization via graph cuts
Boykov, Y., Veksler, O., & Zabih, R. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.969114 · Cited by 6,988
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
Olshausen, B. A., & Field, D. J. (1996) · Nature · doi:10.1038/381607a0 · Cited by 5,694
Cited by
Fattal, R. (2008) · ACM Transactions on Graphics · doi:10.1145/1360612.1360671 · Cited by 2,114
Blind deconvolution using a normalized sparsity measure
Krishnan, D., Tay, T., & Fergus, R. (2011) · CVPR 2011 · doi:10.1109/cvpr.2011.5995521 · Cited by 1,119
Self-citationImage smoothing via L0gradient minimization
Xu, L., Lu, C., Xu, Y., & Jia, J. (2011) · Proceedings of the 2011 SIGGRAPH Asia Conference · doi:10.1145/2024156.2024208 · Cited by 873
FlexISP: a flexible camera image processing framework
Heide, F., Steinberger, M., Tsai, Y.-T., Rouf, M., Pająk, D., Reddy, D., Gallo, O., Liu, J., Heidrich, W., Egiazarian, K., et al. (2014) · ACM Transactions on Graphics · doi:10.1145/2661229.2661260 · Cited by 298
Total Variation Blind Deconvolution: The Devil Is in the Details
Perrone, D., & Favaro, P. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2014.372 · Cited by 280
Metadata
- Authors
- Levin, A., Fergus, R., Durand, F., & Freeman, W. T.
- Venue
- ACM Transactions on Graphics
- Published
- 2007-07-29
- Volume
- 26
- Issue
- 3
- Pages
- 70
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W4247043502
- Cited by
- 980
- References
- 2
- FWCI
- 74.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Levin, A., Fergus, R., Durand, F., & Freeman, W. T. (2007). Image and depth from a conventional camera with a coded aperture. ACM Transactions on Graphics. https://doi.org/10.1145/1276377.1276464
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