This state of the art report covers reconstruction methods for transparent and specular
objects or phenomena. While the 3D acquisition of opaque surfaces with Lambertian …

Light fields are vector functions that map the geometry of light rays to the corresponding
plenoptic attributes. They describe the holographic information of scenes by representing …

Light-field cameras have recently become available to the consumer market. An array of
micro-lenses captures enough information that one can refocus images after acquisition, as …

We develop a continuous framework for the analysis of 4D light fields, and describe novel
variational methods for disparity reconstruction as well as spatial and angular super …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

Removing the influence of occlusion on the depth estimation for light field images has
always been a difficult problem, especially for highly noisy and aliased images captured by …

We present a new benchmark database to compare and evaluate existing and upcoming
algorithms which are tailored to light field processing. The data is characterised by a dense …

We present a novel paradigm to deal with depth reconstruction from 4D light fields in a
variational framework. Taking into account the special structure of light field data, we …

This paper describes a method for scene reconstruction of complex, detailed environments
from 3D light fields. Densely sampled light fields in the order of 109 light rays allow us to …

Light-field cameras are now used in consumer and industrial applications. Recent papers
and products have demonstrated practical depth recovery algorithms from a passive single …