Method and system for determining a volume of an object from twodimensional images
Abstract
The invention provides a method and a computer program stored in a tangible medium for automatically determining a volume of threedimensional objects represented in twodimensional images, by acquiring at two least twodimensional digitized images, by analyzing the twodimensional images to identify reference points and geometric patterns, by determining distances between the reference points and the component objects utilizing reference data provided for the threedimensional object, and by calculating a volume for the threedimensional object.
 Inventors:

 Knoxville, TN
 Portsmouth, NH
 Issue Date:
 Research Org.:
 Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
 Sponsoring Org.:
 USDOE
 OSTI Identifier:
 1013828
 Patent Number(s):
 7773773
 Application Number:
 11/583,473
 Assignee:
 UTBattelle, LLC (Oak Ridge, TN)
 Patent Classifications (CPCs):

G  PHYSICS G06  COMPUTING G06T  IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
 DOE Contract Number:
 AC0500OR22725
 Resource Type:
 Patent
 Country of Publication:
 United States
 Language:
 English
Citation Formats
Abercrombie, Robert K, and Schlicher, Bob G. Method and system for determining a volume of an object from twodimensional images. United States: N. p., 2010.
Web.
Abercrombie, Robert K, & Schlicher, Bob G. Method and system for determining a volume of an object from twodimensional images. United States.
Abercrombie, Robert K, and Schlicher, Bob G. Tue .
"Method and system for determining a volume of an object from twodimensional images". United States. https://www.osti.gov/servlets/purl/1013828.
@article{osti_1013828,
title = {Method and system for determining a volume of an object from twodimensional images},
author = {Abercrombie, Robert K and Schlicher, Bob G},
abstractNote = {The invention provides a method and a computer program stored in a tangible medium for automatically determining a volume of threedimensional objects represented in twodimensional images, by acquiring at two least twodimensional digitized images, by analyzing the twodimensional images to identify reference points and geometric patterns, by determining distances between the reference points and the component objects utilizing reference data provided for the threedimensional object, and by calculating a volume for the threedimensional object.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2010},
month = {8}
}