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• W1559964639 abstract "AbstractIn this paper, we present a new approach for object removal and video completion of indoor scenes. In indoor images, the frames are not affine related. The region near the object to be removed can have multiple planes with sharply different motions. Dense motion estimation may fail for such scenes due to missing pixels. We use feature tracking to find dominant motion between two frames. The geometry of the motion of multiple planes is used to segment the motion layers into component planes. The homography corresponding to each hole pixel is used to warp a frame in the future or past for filling it. We show the application of our technique on some typical indoor videos.KeywordsFeature TrackingTexture SynthesisMotion SegmentationImage InpaintingUnknown RegionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
• W1559964639 created "2016-06-24" @default.
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• W1559964639 date "2006-01-01" @default.
• W1559964639 modified "2023-09-23" @default.
• W1559964639 title "Video Completion for Indoor Scenes" @default.
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• W1559964639 doi "https://doi.org/10.1007/11949619_37" @default.
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