A computational approach for obstruction-free photography
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Freeman_A computational.pdf
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30.85 MB
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Author(s)
Xue, Tianfan
Rubinstein, Michael
Liu, Ce
Freeman, William T.
Date Issued
August 2015
Journal
ACM Transactions on Graphics
Publisher
Association for Computing Machinery (ACM)
Citation
Tianfan Xue, Michael Rubinstein, Ce Liu, and William T. Freeman. 2015. A computational approach for obstruction-free photography. ACM Trans. Graph. 34, 4, Article 79 (July 2015), 11 pages.
Version
Author's final manuscript
Abstract
We present a unified computational approach for taking photos through reflecting or occluding elements such as windows and fences. Rather than capturing a single image, we instruct the user to take a short image sequence while slightly moving the camera. Differences that often exist in the relative position of the background and the obstructing elements from the camera allow us to separate them based on their motions, and to recover the desired background scene as if the visual obstructions were not there. We show results on controlled experiments and many real and practical scenarios, including shooting through reflections, fences, and raindrop-covered windows.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2766940
