Open AccessLight field geometry of a standard plenoptic camera
Author(s) -
Christopher Hahne,
A. Aggoun,
Shyqyri Haxha,
Vladan Velisavljević,
Juan Carlos Jácome Fernández
Publication year - 2014
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.22.026659
Subject(s) - zemax , paraxial approximation , optics , ray tracing (physics) , computer science , lens (geology) , geometrical optics , computer vision , artificial intelligence , depth of field , camera lens , photography , matlab , position (finance) , virtual image , focal length , light field , computer graphics (images) , physics , software , art , beam (structure) , finance , economics , visual arts , programming language , operating system
The Standard Plenoptic Camera (SPC) is an innovation in photography, allowing for acquiring two-dimensional images focused at different depths, from a single exposure. Contrary to conventional cameras, the SPC consists of a micro lens array and a main lens projecting virtual lenses into object space. For the first time, the present research provides an approach to estimate the distance and depth of refocused images extracted from captures obtained by an SPC. Furthermore, estimates for the position and baseline of virtual lenses which correspond to an equivalent camera array are derived. On the basis of paraxial approximation, a ray tracing model employing linear equations has been developed and implemented using Matlab. The optics simulation tool Zemax is utilized for validation purposes. By designing a realistic SPC, experiments demonstrate that a predicted image refocusing distance at 3.5 m deviates by less than 11% from the simulation in Zemax, whereas baseline estimations indicate no significant difference. Applying the proposed methodology will enable an alternative to the traditional depth map acquisition by disparity analysis.