Computer generated three-dimensional models of microstructural features based on stereomicroscopy
Abstract
3D information may be extracted from two 2D images by capturing a first image of a sample at a first orientation. The sample may be titled at a second or different orientation, resulting in a second image of the titled sample to be captured. Third dimension of information may be extracted from the images.
- Inventors:
- Issue Date:
- Research Org.:
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1568619
- Patent Number(s):
- 10356391
- Application Number:
- 15/986,796
- Assignee:
- Triad National Security, LLC (Los Alamos, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
H - ELECTRICITY H01 - BASIC ELECTRIC ELEMENTS H01J - ELECTRIC DISCHARGE TUBES OR DISCHARGE LAMPS
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 05/22/2018
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Citation Formats
Eftink, Benjamin P., and Maloy, Stuart Andrew. Computer generated three-dimensional models of microstructural features based on stereomicroscopy. United States: N. p., 2019.
Web.
Eftink, Benjamin P., & Maloy, Stuart Andrew. Computer generated three-dimensional models of microstructural features based on stereomicroscopy. United States.
Eftink, Benjamin P., and Maloy, Stuart Andrew. Tue .
"Computer generated three-dimensional models of microstructural features based on stereomicroscopy". United States. https://www.osti.gov/servlets/purl/1568619.
@article{osti_1568619,
title = {Computer generated three-dimensional models of microstructural features based on stereomicroscopy},
author = {Eftink, Benjamin P. and Maloy, Stuart Andrew},
abstractNote = {3D information may be extracted from two 2D images by capturing a first image of a sample at a first orientation. The sample may be titled at a second or different orientation, resulting in a second image of the titled sample to be captured. Third dimension of information may be extracted from the images.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {7}
}
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