A Physically-Based Approach to Reflection Separation: From Physical Modeling to Constrained Optimization

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We propose a physically-based approach to separate reflection using multiple polarized images with a background scene captured behind glass. The input consists of three polarized images, each captured from the same view point but with a different polarizer angle separated by 45 degrees. The output is the high-quality separation of the reflection and background layers from each of the input images. A main technical challenge for this problem is that the mixing coefficient for the reflection and background layers depends on the angle of incidence and the orientation of the plane of incidence, which are spatially varying over the pixels of an image. Exploiting physical properties of polarization for a double-surfaced glass medium, we propose a multiscale scheme which automatically finds the optimal separation of the reflection and background layers. Through experiments, we demonstrate that our approach can generate superior results to those of previous methods.
Publisher
IEEE COMPUTER SOC
Issue Date
2014-02
Language
English
Article Type
Article
Keywords

USER ASSISTED SEPARATION; SPARSITY PRIOR; TRANSPARENT; POLARIZATION; INFORMATION; MOTIONS; VISION; SCENES; IMAGES

Citation

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.36, no.2, pp.209 - 221

ISSN
0162-8828
DOI
10.1109/TPAMI.2013.45
URI
http://hdl.handle.net/10203/187090
Appears in Collection
EE-Journal Papers(저널논문)CS-Journal Papers(저널논문)
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