The Production of Ground Truths for Evaluating Highly Accurate Stereovision Algorithms

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Communicated by Carlo de Franchis

Abstract

The conception and improvement of algorithms for subpixel stereovision requires very precise test databases. The state of the art on the sets of images used extensively by the scientific community shows that they are often incomplete and imprecise compared to the dataset goals. We will present a method based on image synthesis to produce stereoscopic pairs with ground truths such as disparity and occlusion maps reaching an accuracy of about 1e-6 pixels. The a priori noise estimate is also taken into account. This process allows us to deliver a new image database consisting of 66 stereo pairs together with their ground truths.

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  Software Heritage Archive @softwareversion{sw-ipol.2018.187, title = {{The Production of Ground Truths for Evaluating Highly Accurate Stereovision Algorithms}}, author = {Tristan Dagobert}, date = {2016-08-17}, license = {GPL-3.0-or-later}, version = {1.1}, swhid = {swh:1:dir:585c33f0f27e3b2d4ef722d9a8eca08590198a37;origin=https://doi.org/10.5201/ipol.2018.187;visit=swh:1:snp:d33fe3e28a52da875f1e5fbdfa4aeb52442803aa;anchor=swh:1:rel:bb9de1324b2fc154f25ca81616ced7fbe0e6b067}, related = {ipol.2018.187}, relatedtype = "Reference article: https://doi.org/10.5201/ipol.2018.187" } % the biblatex-software style extension is recommended for software bibitems
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Supplementary Materials

Available datasets (described in the manuscript):

• bastet_matte
• bastet_shiny
• corridor
• oranges
• pillar_matte
• pillar_shiny
• saloon_matte
• saloon_shiny
• shrub_matte
• shrub_shiny
• watch

History

• Note from the editor: the manuscript of the article was modified on 2022-01-01 to include information about its editors. The original version of the manuscript is available here.