A 4D Light Field represents the amount of light traveling in every direction through every point in space. Unlike a traditional 2D image, which captures light intensity on a single plane, a 4D light field captures both the intensity and direction of light rays in a scene. This allows for a more comprehensive representation of the visual information, enabling advanced imaging applications such as refocusing, depth estimation, and viewpoint changes.

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A 4D Light-Field Dataset & CNN Architectures for Material Recognition

We introduce a new light-field dataset of materials and take advantage of the recent success of deep learning to perform material recognition on the 4D light field. Our dataset contains 12 material categories, each with 100 images taken with a Lytro Illum, from which we extract about 30,000 patches in total. To the best of our knowledge, this is the first mid-size dataset for light-field images.