Inferring representations of 3D scenes from 2D observations is a fundamental problem of
computer graphics, computer vision, and artificial intelligence. Emerging 3D-structured …

We demonstrate that the redundant information in light field imagery allows volumetric focus,
an improvement of signal quality that maintains focus over a controllable range of depths. To …

Light-field imaging systems have got much attention recently as the next generation camera
model. A light-field imaging system consists of three parts: data acquisition, manipulation …

Three closed-form solutions are proposed for six degree of freedom (6-DOF) visual
odometry for light field cameras. The first approach breaks the problem into geometrically …

In this paper, we introduce an automatic approach to generate trimaps and consistent alpha
mattes of foreground objects in a light-field image. Our method first performs binary …

Light field (LF) capture and processing are important in an expanding range of computer
vision applications, offering rich textural and depth information and simplification of …

Current methodologies for the generation of 3D point cloud from real world scenes rely upon
a set of 2D images capturing the scene from several points of view. Novel plenoptic cameras …

This thesis proposes the use of plenoptic cameras for improving the robustness and
simplicity of machine vision in field robotics applications. Dust, rain, fog, snow, murky water …

This paper proposes a unified depth model based on the light field gradient, in which
estimated disparity is represented by the complex number. The complex-valued disparity by …

In this paper, we propose an approach to address the problem of 3D reconstruction of
scenes from a single image captured by a light-field camera equipped with a rolling shutter …