A computational approach for obstruction-free photography
Author(s)Xue, Tianfan; Rubinstein, Michael; Liu, Ce; Freeman, William T.
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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.
DepartmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
ACM Transactions on Graphics
Association for Computing Machinery (ACM)
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.
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