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231223s2011 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2010.187
|2 doi
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|a DE-627
|b ger
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|e rakwb
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|a eng
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|a McCloskey, Scott
|e verfasserin
|4 aut
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|a Removal of partial occlusion from single images
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|c 2011
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
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|2 rdacarrier
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|a Date Completed 23.06.2011
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|a Date Revised 21.01.2011
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|a published: Print
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|a Citation Status MEDLINE
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|a This paper examines large partial occlusions in an image which occur near depth discontinuities when the foreground object is severely out of focus. We model these partial occlusions using matting, with the alpha value determined by the convolution of the blur kernel with a pinhole projection of the occluder. The main contribution is a method for removing the image contribution of the foreground occluder in regions of partial occlusion, which improves the visibility of the background scene. The method consists of three steps. First, the region of complete occlusion is estimated using a curve evolution method. Second, the alpha value at each pixel in the partly occluded region is estimated. Third, the intensity contribution of the foreground occluder is removed in regions of partial occlusion. Experiments demonstrate the method's ability to remove the effects of partial occlusion in single images with minimal user input
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|a Journal Article
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|a Langer, Michael
|e verfasserin
|4 aut
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|a Siddiqi, Kaleem
|e verfasserin
|4 aut
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|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 33(2011), 3 vom: 21. März, Seite 647-54
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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|g volume:33
|g year:2011
|g number:3
|g day:21
|g month:03
|g pages:647-54
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|u http://dx.doi.org/10.1109/TPAMI.2010.187
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