Robust Depth Estimation for Light Field Microscopy.

Palmieri, Luca, Scrofani, Gabriele, Incardona, Nicolò, Saavedra, Genaro, Martínez-Corral, Manuel and Koch, Reinhard (2019) Robust Depth Estimation for Light Field Microscopy. Sensors, 19 (3). DOI 10.3390/s19030500.

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Abstract

Light field technologies have seen a rise in recent years and microscopy is a field where such technology has had a deep impact. The possibility to provide spatial and angular information at the same time and in a single shot brings several advantages and allows for new applications. A common goal in these applications is the calculation of a depth map to reconstruct the three-dimensional geometry of the scene. Many approaches are applicable, but most of them cannot achieve high accuracy because of the nature of such images: biological samples are usually poor in features and do not exhibit sharp colors like natural scene. Due to such conditions, standard approaches result in noisy depth maps. In this work, a robust approach is proposed where accurate depth maps can be produced exploiting the information recorded in the light field, in particular, images produced with Fourier integral Microscope. The proposed approach can be divided into three main parts. Initially, it creates two cost volumes using different focal cues, namely correspondences and defocus. Secondly, it applies filtering methods that exploit multi-scale and super-pixels cost aggregation to reduce noise and enhance the accuracy. Finally, it merges the two cost volumes and extracts a depth map through multi-label optimization.

Document Type: Article
Keywords: depth estimation; light field; microscope; stereo matching; defocus
Research affiliation: Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
Kiel University
Refereed: Yes
Open Access Journal?: Yes
DOI etc.: 10.3390/s19030500
ISSN: 1424-8220
Date Deposited: 07 Aug 2019 13:19
Last Modified: 17 Jan 2020 13:51
URI: http://oceanrep.geomar.de/id/eprint/47435

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