Model-based image change quantification
Abstract
A system is provided for identifying and quantizing a change in a scene having objects based on comparison of features representing a target object derived from a first image and a second image that includes the target object. The system segments, based on a scene model of the scene, a second image that includes the target object to identify a second area representing the target object within the second image. The system extracts, from the second image, second features for the target object based on the second area. The system determines a second effectiveness of the second features indicating effectiveness of the second features in representing the target object. The system detects a change based on a difference between first features and the second features factoring in a first effectiveness and the second effectiveness.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 2293769
- Patent Number(s):
- 11798273
- Application Number:
- 17/199,678
- Assignee:
- Lawrence Livermore National Security, LLC (Livermore, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- AC52-07NA27344
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 03/12/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Roberts, Randy S., and Goforth, John. Model-based image change quantification. United States: N. p., 2023.
Web.
Roberts, Randy S., & Goforth, John. Model-based image change quantification. United States.
Roberts, Randy S., and Goforth, John. Tue .
"Model-based image change quantification". United States. https://www.osti.gov/servlets/purl/2293769.
@article{osti_2293769,
title = {Model-based image change quantification},
author = {Roberts, Randy S. and Goforth, John},
abstractNote = {A system is provided for identifying and quantizing a change in a scene having objects based on comparison of features representing a target object derived from a first image and a second image that includes the target object. The system segments, based on a scene model of the scene, a second image that includes the target object to identify a second area representing the target object within the second image. The system extracts, from the second image, second features for the target object based on the second area. The system determines a second effectiveness of the second features indicating effectiveness of the second features in representing the target object. The system detects a change based on a difference between first features and the second features factoring in a first effectiveness and the second effectiveness.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {10}
}
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