AV-Portal 3.23.3 (4dfb8a34932102951b25870966c61d06d6b97156)

Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus

Video in TIB AV-Portal: Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus

Formal Metadata

Title
Geometrically constrained sub-pixel disparity estimation from stereo images of the retinal fundus
Alternative Title
Light field modulation using a double-lenticular liquid crystal panel
Title of Series
Part Number
23
Number of Parts
31
Author
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Publisher
Release Date
2016
Language
English

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Subject Area
Abstract
The aim of this study is to help ophthalmologists and opticians during the diagnostic process of the retinal fundus. We propose a computer-vision-based solution that allows, from stereo images, the extraction of clinical parameters and/or the generation of multi-viewpoint images of the retinal fundus. This goal can be achieved by estimating the disparity map of the stereo images. For more precise clinical parameter extraction, a sub-pixel approach could be used. Additionally, the a priori knowledge of the fundus geometric shape provides useful information for the disparity map estimation process. In this paper we propose a sub-pixel disparity estimation algorithms that takes into consideration the geometric shape of the retinal fundus. Different stereo images, with known and unknown ground truth, are used to compare the proposed algorithms to state-of-the-art algorithms and to demonstrate the efficiency of our proposed method. © 2016, Society for Imaging Science and Technology (IS&T).
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