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- W2074175524 abstract "We propose a two-stage depth propagation algorithm for semi-automatic 2D-to-3D video conversion that forces the solution towards statistical “naturalness”. First, both forward and backward motion vectors are estimated and compared to decide initial depth values, then a compensation process is adopted to further improve the depth initialization. Secondly, the luminance and initial depth are decomposed into a wavelet pyramid. Each sub-band of depth is inferred using a Bayesian formulation under a natural scene statistic prior assumption. This is incorporated into a propagation target function as a prior regularizing term. The final depth map associated with each frame of the input 2D video is optimized by composing all the sub-bands. Experimental results obtained on various sequences show that the presented method outperforms several state-of-the-art depth propagation methods." @default.
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- W2074175524 date "2013-06-01" @default.
- W2074175524 modified "2023-10-16" @default.
- W2074175524 title "Towards naturalistic depth propagation" @default.
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- W2074175524 doi "https://doi.org/10.1109/ivmspw.2013.6611934" @default.
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