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- Title
DEPTH MAP ESTIMATION IN LIGHT FIELDS USING AN STEREO-LIKE TAXONOMY.
- Authors
Calderon, Francisco C.; Parra, Carlos A.; Niño, Cesar L.
- Abstract
The light field or LF is a function that describes the amount of light traveling in every direction (angular) through every point (spatial) in a scene, this LF can be captured in several ways, using arrays of cameras, or more recently using a single camera with an special lens, that allows the capture of angular and spatial information of light rays of a scene (LF). This recent camera implementation gives a different approach to find the dept of a scene using only a single camera. In order to estimate the depth, we describe a taxonomy, similar to the one used in stereo Depth-map algorithms. That consist in the creation of a cost tensor to represent the matching cost between different disparities, then, using a support weight window, aggregate the cost tensor, finally, using a winner-takes-all optimization algorithm, search for the best disparities. This paper explains in detail the several changes made to an stereo-like taxonomy, to be applied in a light field, and evaluate this algorithm using a recent database that for the first time, provides several ground-truth light fields, with a respective ground-truth depth map.
- Subjects
LIGHT; DEPTH maps (Digital image processing); TAXONOMY; MATHEMATICAL models
- Publication
Journal of Research of the University of Quindio / Revista de Investigaciones Universidad del Quindio, 2016, Vol 28, Issue 1, p92
- ISSN
1794-631X
- Publication type
Article
- DOI
10.33975/riuq.vol28n1.37