Light field cameras capture both the spatial and the angular properties of light rays in space.
With the result from the FM, the role of a DfF pipeline is to determine and recalculate unreliable measurements while enhancing those that are reliable.
We propose a novel approach that generates a high-quality depth map from a set of images captured with a small viewpoint variation, namely small motion clip.
In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique.
To address these problems, we introduce a novel 3D reconstruction method from narrow-baseline image sequences that effectively handles the effects of a rolling shutter that occur from most of commercial digital cameras.
This paper introduces an algorithm that accurately estimates depth maps using a lenslet light field camera.