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- W2736613185 abstract "We consider the problem of two-frame depth from defocus in conditions unsuitable for existing methods yet typical of everyday photography: a non-stationary scene, a handheld cellphone camera, a small aperture, and sparse scene texture. The key idea of our approach is to combine local estimation of depth and flow in very small patches with a global analysis of image content-3D surfaces, deformations, figure-ground relations, textures. To enable local estimation we (1) derive novel defocus-equalization filters that induce brightness constancy across frames and (2) impose a tight upper bound on defocus blur-just three pixels in radius-by appropriately refocusing the camera for the second input frame. For global analysis we use a novel splinebased scene representation that can propagate depth and flow across large irregularly-shaped regions. Our experiments show that this combination preserves sharp boundaries and yields good depth and flow maps in the face of significant noise, non-rigidity, and data sparsity." @default.
- W2736613185 created "2017-07-31" @default.
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- W2736613185 date "2017-07-01" @default.
- W2736613185 modified "2023-09-25" @default.
- W2736613185 title "Depth from Defocus in the Wild" @default.
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- W2736613185 doi "https://doi.org/10.1109/cvpr.2017.507" @default.
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