Skip to main content

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

Download Article:
(PDF 1174.568359375 kb)
The aim of this study is to propose a precise disparity estimation process between retinal fundus stereoscopic images to assist during eye diagnosis and view generation for visualization. We propose a computer-vision-based solution that allows, from stereo images, the extraction of precise disparity information that could be used for clinical parameters estimation and/or the generation of multi-viewpoint images of retinal fundus. The proposed solution is based on a sub-pixel disparity estimation algorithm that takes into consideration the spherical shape of the retinal fundus. A sub-pixel approach is adopted in order to achieve high precision disparity estimation. Moreover, the a priori knowledge of the fundus geometric shape provides useful information for the regularization of the high precision disparity estimation process. Stereo images, with known ground truth, are used to evaluate the proposed algorithm and to demonstrate the high precision of estimated disparity in our methods.
No References for this article.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Publication date: 2016-02-14

More about this publication?
  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more