Dr. Eamon B. Barrett Profile

Dr. Eamon B. Barrett

Lockheed Martin Tech. Fellow (Retired)

SPIE Involvement:

Author

Proceedings Article | 26 August 2008 Paper

Simulation of a passive grating-heterodyne super-resolution concept

David Tyler, Eamon Barrett

Proceedings Volume 7094, 709403 (2008) https://doi.org/10.1117/12.796115

KEYWORDS: Diffraction, Telescopes, Super resolution, Modulation, Spatial frequencies, Computer simulations, Oxygen, Near field, Heterodyning, Diffraction gratings

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Proceedings Article | 26 September 2007 Paper

New approaches to image super-resolution beyond the diffraction limit

Eamon Barrett, David Tyler, Paul Payton, Katharine Ip, David Christie

Proceedings Volume 6712, 67120D (2007) https://doi.org/10.1117/12.731414

KEYWORDS: Diffraction, Optical transfer functions, Point spread functions, Super resolution, Modulation, Imaging systems, Spatial frequencies, Fourier transforms, Optical testing, Diffraction gratings

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Proceedings Article | 2 February 2006 Paper

Computed spectroscopy using segmented apertures

Ralph Hoctor, Frederick Wheeler, Eamon Barrett

Proceedings Volume 6065, 60650H (2006) https://doi.org/10.1117/12.659610

KEYWORDS: Optical transfer functions, Point spread functions, Imaging systems, Spatial frequencies, Image segmentation, Spectroscopy, Image restoration, Fourier transforms, Imaging spectroscopy, Transmittance

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Proceedings Article | 11 March 2005 Paper

Super-resolution image synthesis using projections onto convex sets in the frequency domain

Frederick Wheeler, Ralph Hoctor, Eamon Barrett

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.605436

KEYWORDS: Signal to noise ratio, Optical transfer functions, Point spread functions, Super resolution, Imaging systems, Spatial frequencies, Sensors, Image acquisition, Image sensors, Lawrencium

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Proceedings Article | 2 October 1998 Paper

Invariant methods for indexing and relative reconstruction of 3D models using 1D HRR and 2D SAR

Paul Payton, Eamon Barrett, Wolfgang Kober, John Thomas, Steven Johnson

Proceedings Volume 3454, (1998) https://doi.org/10.1117/12.323249

KEYWORDS: Radar, Mathematical modeling, Reflectors, Data modeling, Scattering, Sensors, Synthetic aperture radar, 3D modeling, Reconstruction algorithms, 3D image processing

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Proceedings Article | 30 July 1998 Paper

View-based methods for relative reconstruction of 3D scenes from several 2D images

Eamon Barrett, Paul Payton, Peter Marra, Michael Brill

Proceedings Volume 3364, (1998) https://doi.org/10.1117/12.317485

KEYWORDS: Visual process modeling, 3D image reconstruction, Imaging systems, Cameras, Distortion, 3D modeling, Machine vision, Chlorine, Systems modeling, 3D image processing

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Proceedings Article | 20 October 1997 Paper

Geometric interpretations of algebraic invariants in images of 3D scenes

Eamon Barrett, Paul Payton, Peter Marra, Michael Brill

Proceedings Volume 3168, (1997) https://doi.org/10.1117/12.292782

KEYWORDS: Visualization, Imaging systems, Image segmentation, Computer simulations, 3D image processing

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We will demonstrate for central-projection imaging systems a natural progression of cross-ratio invariant theorems extending from one through three dimensions. In each dimensions there is an invariant quantitative relationship between combinations of geometric entities in image space, and combinations of corresponding geometric entities in object space. In one dimension, when the object points and image points are co-linear, these entities are line segments formed by corresponding paris of object and image points. The 'mother of all invariants' is the invariant relationship between cross-ratios of products of the lengths of these corresponding line segments in object and image. In two dimensions these geometric entities are triangles formed by corresponding triplets of points in the object and in the image. There exists an invariant relationship between cross- ratios of products of areas of these corresponding triangles in object and image. The one- and two-dimensional results are well known. Not so well-known is the fact that for the case of multiple images of 3D scenes and objects the geometric entities are triangles and tetrahedra, and that there exist invariant linear relationships between cross- ratios of products of the areas of image-triangles and volumes of object-tetrahedra. One objective of our paper is to demonstrate that these linear relationships are established by a uniform pattern of algebraic arguments that extends the cross-ratio invariants in a natural progression from lower to higher dimensions. A second objective is to demonstrate that the resulting cross-ratio invariants can be interpreted as metric properties of geometric entities. A third objective is to demonstrate that these cross-ratios of points in the images, which we can observe directly, are equal to the corresponding cross-ratios of points in the objects, which may not be directly accessible. We will use computer simulations to validate the algebraic results we derive in this paper, and 3D graphics to visualize them.

Proceedings Article | 26 June 1997 Paper

Synthesizing perspective views of 3D scenes from multiple reference images using a synergy of point and line invariant transfer algorithms

Eamon Barrett, Paul Payton, Peter Marra

Proceedings Volume 3088, (1997) https://doi.org/10.1117/12.277230

KEYWORDS: Imaging systems, Cameras, 3D modeling, Computer aided design, Algorithm development, 3D vision, Airborne remote sensing, Solid modeling, 3D image processing, Evolutionary algorithms

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Proceedings Article | 31 December 1996 Paper

Synthesizing maps of 3D scenes from multiple reference views without constructing the DEM

Eamon Barrett, Paul Payton, Peter Marra

Proceedings Volume 2960, (1996) https://doi.org/10.1117/12.262462

KEYWORDS: Data modeling, Imaging systems, Cameras, Photography, Computer simulations, 3D modeling, Algorithm development, Airborne remote sensing, Solid modeling, 3D image processing

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Proceedings Article | 23 August 1995 Paper

Robust algebraic invariant methods with applications in geometry and imaging

Eamon Barrett, Paul Payton, Gregory Gheen

Proceedings Volume 2572, (1995) https://doi.org/10.1117/12.216941

KEYWORDS: Logic, 3D image reconstruction, Detection and tracking algorithms, Visualization, Imaging systems, Cameras, Computer simulations, 3D modeling, Reconstruction algorithms, 3D image processing

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Proceedings Article | 23 March 1995 Paper

Invariant methods for model transfer and object reconstruction based on multiple reference images

Eamon Barrett, Gregory Gheen, Paul Payton

Proceedings Volume 2421, (1995) https://doi.org/10.1117/12.205480

KEYWORDS: Visual process modeling, Imaging systems, Cameras, Computer simulations, 3D modeling, Monte Carlo methods, Machine vision, Reconstruction algorithms, Model-based design, 3D image processing

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Proceedings Article | 24 September 1993 Paper

Extension of three-dimensional invariant methods to noncentral-projection imaging systems

Eamon Barrett, Paul Payton

Proceedings Volume 1944, (1993) https://doi.org/10.1117/12.155796

KEYWORDS: Mathematical modeling, Image fusion, Imaging systems, Cameras, Sensors, Synthetic aperture radar, 3D modeling, Image sensors, Coded apertures, 3D image processing

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Proceedings Article | 12 January 1993 Paper

Projectively invariant structures in multisensor imagery

Eamon Barrett, Paul Payton

Proceedings Volume 1771, (1993) https://doi.org/10.1117/12.139067

KEYWORDS: Mathematical modeling, Visual process modeling, Digital image processing, Cameras, Synthetic aperture radar, Photogrammetry, Machine vision, Coded apertures, Model-based design, Solid modeling

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Proceedings Article | 1 April 1992 Paper

Three-dimensional model alignment without computing pose

Joseph Mundy, Paul Payton, Michael Brill, Eamon Barrett, Richard Welty

Proceedings Volume 1623, (1992) https://doi.org/10.1117/12.58060

KEYWORDS: Data modeling, Cameras, Image segmentation, Image processing, Computer simulations, 3D modeling, Feature extraction, Systems modeling, Solid modeling, 3D image processing

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Proceedings Article | 1 December 1991 Paper

Linear resection, intersection, and perspective-independent model matching in photogrammetry: theory

Eamon Barrett, Michael Brill, Nils Haag, Paul Payton

Proceedings Volume 1567, (1991) https://doi.org/10.1117/12.50811

KEYWORDS: Digital image processing, Imaging systems, Cameras, Matrices, Computing systems, Control systems, Photogrammetry, Coded apertures, Systems modeling, Polonium

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Proceedings Article | 1 August 1991 Paper

Linear programming solutions to problems in logical inference and space-variant image restoration

Ramji Digumarthi, Paul Payton, Eamon Barrett

Proceedings Volume 1472, (1991) https://doi.org/10.1117/12.46478

KEYWORDS: Point spread functions, Stars, Detection and tracking algorithms, Image processing, Image restoration, Computer programming, Artificial intelligence, Convolution, Image understanding, Evolutionary algorithms

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Proceedings Article | 1 April 1991 Paper

Machine vision applications of image invariants: real-time processing experiments

Paul Payton, Barry Haines, Kirk Smedley, Eamon Barrett

Proceedings Volume 1406, (1991) https://doi.org/10.1117/12.47968

KEYWORDS: Image processing, Feature extraction, Machine vision, Object recognition, 3D image processing

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Proceedings Article | 1 November 1990 Paper

Differential and integral invariants under image-perspective transformations: a report on work in progress

Eamon Barrett, Paul Payton, Michael Brill

Proceedings Volume 1349, (1990) https://doi.org/10.1117/12.23565

KEYWORDS: Digital image processing, Imaging systems, Cameras, Synthetic aperture radar, Fourier transforms, 3D modeling, Object recognition, Coded apertures, Electro optical modeling, 3D image processing

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