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Seeing Around Occluding Objects
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.103218th International Conference on Patt ...
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Scott McCloskey, McGill University, Canada
Michael Langer, McGill University, Canada
Kaleem Siddiqi, McGill University, Canada
This paper presents a novel method for the removal of unwanted image intensity due to occluding objects far from the plane of focus. Such occlusions may arise in scenes with large depth discontinuities, and result in image regions where both the occluding and background objects contribute to pixel intensities. The contribution of the occluding object?s radiance is modeled by reverse projection, and can be removed from this region by a simple operation on the pixel?s intensity. Experimental results demonstrate our ability to accurately recover the background?s appearance despite significant occlusion. As compared with processing based a linear model of occlusion, the results show lower error and a more accurate contrast.
Citation:
Scott McCloskey, Michael Langer, Kaleem Siddiqi, "Seeing Around Occluding Objects," icpr, vol. 1, pp.963-966, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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