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Sampling-Agnostic Software Framework for Converting Between Texture Map Representations of Virtual Environments

Metadata Updated: July 29, 2022

We have developed a utility to both stitch cube maps into other types of texture maps (equirectangular, dual paraboloid, and octahedral), and stitch those other types back into cube maps. The utility allows for flexibility in the image size of the conversion - the user can specify the desired image width, and the height is computed (cube, paraboloid, and octahedral mappings are square, and spherical maps are generated to have 16:9 aspect ratio). Moreover, the utility is sampling-agnostic, so the user can select whether to use uniform or jittered sampling over the pixels, as well as the number of samples to use per pixel. The rest of this paper discusses the mathematical framework for projecting from cube maps to equirectangular, dual paraboloid, and octahedral environment maps, as well as the mathematical framework for the inverse projections. We also describe two sampling techniques: uniform sampling and correlated multi-jittered sampling. We perform an evaluation of the sampling techniques and a comparative analysis of the different projections using objective image quality assessment metrics.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.6028/jres.122.025

Dates

Metadata Created Date March 11, 2021
Metadata Updated Date July 29, 2022

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date March 11, 2021
Metadata Updated Date July 29, 2022
Publisher National Institute of Standards and Technology
Maintainer
Identifier 4FA52896F612CAE3E0531A570681BC801836
Language en
Data Last Modified 2017-05-16
Category Information Technology: Visualization research
Public Access Level public
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id ebb60082-9bfc-46d9-89ad-a9ef09dbbe83
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://github.com/usnistgov/cubemap-stitch
License https://www.nist.gov/open/license
Program Code 006:045
Related Documents https://doi.org/10.6028/jres.122.025
Source Datajson Identifier True
Source Hash 66a745aa43dc933de6bce8d7261c7e60358e7723
Source Schema Version 1.1

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