SUPR
Light Field Reconstruction
Dnr:

SNIC 2022/22-1120

Type:

SNIC Small Compute

Principal Investigator:

Manu Gond

Affiliation:

Mittuniversitetet

Start Date:

2022-11-18

End Date:

2023-12-01

Primary Classification:

10206: Computer Engineering

Webpage:

Allocation

Abstract

The light field images capture both spatial and angular information of a scene. This enables the user to freely navigate a scene to some extent. Another benefits include refocusing in frequency domain. Light field reconstruction problem aims to use the redundant information between Light Field Images to reconstruct a dense light field given a sparse input images. This enables to represent a scene with just 2x2 or 3x3 images instead of 7x7 or 9x9 images. Light field reconstruction can minimize the data requirement for representing a scene thus enabling use of light field in applications which require real time computing, for example VR.