Image fusion using sparse overcomplete feature dictionaries

Brumby, Steven P.; Bettencourt, Luis; Kenyon, Garrett T.; Chartrand, Rick; Wohlberg, Brendt

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Title: Image fusion using sparse overcomplete feature dictionaries

Abstract

Approaches for deciding what individuals in a population of visual system "neurons" are looking for using sparse overcomplete feature dictionaries are provided. A sparse overcomplete feature dictionary may be learned for an image dataset and a local sparse representation of the image dataset may be built using the learned feature dictionary. A local maximum pooling operation may be applied on the local sparse representation to produce a translation-tolerant representation of the image dataset. An object may then be classified and/or clustered within the translation-tolerant representation of the image dataset using a supervised classification algorithm and/or an unsupervised clustering algorithm.

Inventors:: Brumby, Steven P.; Bettencourt, Luis; Kenyon, Garrett T.; Chartrand, Rick; Wohlberg, Brendt

Issue Date:: Tue Oct 06 00:00:00 EDT 2015

Research Org.:: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1222629

Patent Number(s):: 9152881

Application Number:: 14/026,295

Assignee:: Los Alamos National Security, LLC (Los Alamos, NM)

DOE Contract Number:: AC52-06NA25396

Resource Type:: Patent

Resource Relation:: Patent File Date: 2013 Sep 13

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Brumby, Steven P., Bettencourt, Luis, Kenyon, Garrett T., Chartrand, Rick, and Wohlberg, Brendt. Image fusion using sparse overcomplete feature dictionaries.  United States: N. p., 2015. 
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                    Brumby, Steven P., Bettencourt, Luis, Kenyon, Garrett T., Chartrand, Rick, & Wohlberg, Brendt. Image fusion using sparse overcomplete feature dictionaries.  United States.

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                    Brumby, Steven P., Bettencourt, Luis, Kenyon, Garrett T., Chartrand, Rick, and Wohlberg, Brendt. Tue .  
        "Image fusion using sparse overcomplete feature dictionaries".  United States.  https://www.osti.gov/servlets/purl/1222629.

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@article{osti_1222629,

  title        = {Image fusion using sparse overcomplete feature dictionaries},

  author       = {Brumby, Steven P. and Bettencourt, Luis and Kenyon, Garrett T. and Chartrand, Rick and Wohlberg, Brendt},

  abstractNote = {Approaches for deciding what individuals in a population of visual system "neurons" are looking for using sparse overcomplete feature dictionaries are provided. A sparse overcomplete feature dictionary may be learned for an image dataset and a local sparse representation of the image dataset may be built using the learned feature dictionary. A local maximum pooling operation may be applied on the local sparse representation to produce a translation-tolerant representation of the image dataset. An object may then be classified and/or clustered within the translation-tolerant representation of the image dataset using a supervised classification algorithm and/or an unsupervised clustering algorithm.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Oct 06 00:00:00 EDT 2015},

  month        = {Tue Oct 06 00:00:00 EDT 2015}

}

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Similar Records

Title: Image fusion using sparse overcomplete feature dictionaries

Abstract

Citation Formats

System and method for performing high-precision, multi-channel blending using multiple blending passes patent, August 2000

Image editing apparatus and method patent, June 2006

Feature selection method using support vector machine classifier patent, June 2009

Detecting objects in images with covariance matrices patent, June 2010

System and method for exploiting segment co-occurrence relationships to identify object location in images patent, July 2014

Methods of fabricating nanostructures and nanowires and devices fabricated therefrom patent-application, November 2002

Alternatives to a table of criterion values in signal detection theory journal, May 1986

Support-vector networks journal, September 1995

ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data journal, March 1997

Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization journal, February 2003

Classification of transient signals using sparse representations over adaptive dictionaries conference, June 2011

Receptive fields and functional architecture of monkey striate cortex journal, March 1968

Task-Driven Dictionary Learning journal, April 2012

Sparse Representation for Color Image Restoration journal, January 2008

Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position journal, April 1980

A model of saliency-based visual attention for rapid scene analysis journal, January 1998

Simplified neuron model as a principal component analyzer journal, November 1982

Emergence of simple-cell receptive field properties by learning a sparse code for natural images journal, June 1996

Trailblazing with Roadrunner journal, July 2009

Spatial frequency selectivity of cells in macaque visual cortex journal, January 1982

The orientation and direction selectivity of cells in macaque visual cortex journal, January 1982

Hierarchical models of object recognition in cortex journal, November 1999

Matching pursuits with time-frequency dictionaries journal, January 1993

Quantifying the difficulty of object recognition tasks via scaling of accuracy vs. training set size journal, January 2010

Visualizing classification of natural video sequences using sparse, hierarchical models of cortex. journal, May 2011

Large-scale functional models of visual cortex for remote sensing conference, October 2009

A feedforward architecture accounts for rapid categorization journal, April 2007

Robust Object Recognition with Cortex-Like Mechanisms journal, March 2007

System and method for performing high-precision, multi-channel blending using multiple blending passes
patent, August 2000

Image editing apparatus and method
patent, June 2006

Feature selection method using support vector machine classifier
patent, June 2009

Detecting objects in images with covariance matrices
patent, June 2010

System and method for exploiting segment co-occurrence relationships to identify object location in images
patent, July 2014

Methods of fabricating nanostructures and nanowires and devices fabricated therefrom
patent-application, November 2002

Alternatives to a table of criterion values in signal detection theory
journal, May 1986

Support-vector networks
journal, September 1995

ART neural networks for remote sensing: vegetation classification from Landsat TM and terrain data
journal, March 1997

Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ¹ minimization
journal, February 2003

Classification of transient signals using sparse representations over adaptive dictionaries
conference, June 2011

Receptive fields and functional architecture of monkey striate cortex
journal, March 1968

Task-Driven Dictionary Learning
journal, April 2012

Sparse Representation for Color Image Restoration
journal, January 2008

Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
journal, April 1980

A model of saliency-based visual attention for rapid scene analysis
journal, January 1998

Simplified neuron model as a principal component analyzer
journal, November 1982

Emergence of simple-cell receptive field properties by learning a sparse code for natural images
journal, June 1996

Trailblazing with Roadrunner
journal, July 2009

Spatial frequency selectivity of cells in macaque visual cortex
journal, January 1982

The orientation and direction selectivity of cells in macaque visual cortex
journal, January 1982

Hierarchical models of object recognition in cortex
journal, November 1999

Matching pursuits with time-frequency dictionaries
journal, January 1993

Quantifying the difficulty of object recognition tasks via scaling of accuracy vs. training set size
journal, January 2010

Visualizing classification of natural video sequences using sparse, hierarchical models of cortex.
journal, May 2011

Large-scale functional models of visual cortex for remote sensing
conference, October 2009

A feedforward architecture accounts for rapid categorization
journal, April 2007

Robust Object Recognition with Cortex-Like Mechanisms
journal, March 2007