Intelligent Multi-Resolution 3D Modeling, Compression, Registration, Fusion and Recognition, Phase I

Metadata Updated: November 12, 2020

NASA missions are being designed for multisensor data collection and synthesis using diverse temporal, spatial and spectral resolutions for use by multiple teams of mission specialists and scientists. This project offers two closely related technologies that will benefit the distribution, sharing and use of fused datasets.(1) Artificial intelligence and machine learning is used to generate a novel intelligence-based 3D meshing, and compression method based on hierarchical tetrahedral and binary triangular decomposition applicable to both surfaces and volumes, providing high compression performance . Meshing is progressive and adaptive to any resolution and for any selected region in the scene, thus making it possible to model certain regions with high resolution while leaving the remaining parts coarse. (2) Meshing is then interleaved iteratively with registration to search for optimal alignment of overlapping 3D models by, in one case minimizing an error objective function, and in another case maximizing a similarity measure for aligning decomposition trees associated with the overlapping models. Following alignment, an integration algorithm fuses overlapping models. The anticipated results are effective 3D modeling and registration technologies that significantly assist NASA?s R&D mission.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher Space Technology Mission Directorate
Unique Identifier Unknown
Identifier TECHPORT_5246
Data First Published 2004-07-01
Data Last Modified 2020-01-29
Public Access Level public
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Homepage URL
Program Code 026:027
Source Datajson Identifier True
Source Hash 1a9ffc2f8359d16a349962e5ad9e458981b3e5c2
Source Schema Version 1.1

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