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• W2586620788 abstract "We propose a depth estimation method for light field images. Light field images can be considered as a collection of 2D images taken from different viewpoints arranged in a regular grid. We exploit this configuration and compute the disparity maps between specific pairs of views. This computation is carried out by a state of the art two-view stereo method providing a non dense disparity estimation. We propose a disparity interpolation method increasing the density and improving the accuracy of this initial estimate. Disparities obtained from several pairs of views are fused to obtain a unique and robust estimation. Finally, different experiments on synthetic and real images show how the proposed method outperforms state of the art results." @default.
• W2586620788 created "2017-02-17" @default.
• W2586620788 creator A5010434823 @default.
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• W2586620788 date "2017-04-01" @default.
• W2586620788 modified "2023-09-30" @default.
• W2586620788 title "Robust and Dense Depth Estimation for Light Field Images" @default.
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• W2586620788 doi "https://doi.org/10.1109/tip.2017.2666041" @default.
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