JOHN STEVENS GEORGE
Pilots at Piedra Loop, Los Alamos, NM
License number
New Mexico A3881399
Issued Date
Nov 2015
Expiration Date
Nov 2017
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
156 Piedra Loop, Los Alamos, NM 87544
Professional information
Object Detection Approach Using Generative Sparse, Hierarchical Networks With Top-Down And Lateral Connections For Combining Texture/Color Detection And Shape/Contour Detection
US Patent:
2014007, Mar 13, 2014
Filed:
Sep 13, 2013
Appl. No.:
14/026812
Inventors:
Garrett T. Kenyon - Santa Fe NM, US
Steven P. Brumby - Santa Fe NM, US
Peter F. Schultz - Los Alamos NM, US
John S. George - White Rock NM, US
Steven P. Brumby - Santa Fe NM, US
Peter F. Schultz - Los Alamos NM, US
John S. George - White Rock NM, US
Assignee:
Los Alamos National Security, LLC - Los Alamos NM
International Classification:
G06K 9/46
US Classification:
382165
Abstract:
An approach to detecting objects in an image dataset may combine texture/color detection, shape/contour detection, and/or motion detection using sparse, generative, hierarchical models with lateral and top-down connections. A first independent representation of objects in an image dataset may be produced using a color/texture detection algorithm. A second independent representation of objects in the image dataset may be produced using a shape/contour detection algorithm. A third independent representation of objects in the image dataset may be produced using a motion detection algorithm. The first, second, and third independent representations may then be combined into a single coherent output using a combinatorial algorithm.
System And Method For Magnetic Current Density Imaging At Ultra Low Magnetic Fields
US Patent:
2013007, Mar 21, 2013
Filed:
Sep 19, 2012
Appl. No.:
13/622940
Inventors:
MICHELLE A. ESPY - LOS ALAMOS NM, US
JOHN STEVENS GEORGE - WHITE ROCK NM, US
ROBERT HENRY KRAUS - WHITE ROCK NM, US
PER MAGNELIND - LOS ALAMOS NM, US
ANDREI NIKOLAEVICH MATLASHOV - LOS ALAMOS NM, US
DON TUCKER - EUGENE OR, US
SERGEI TUROVETS - EUGENE OR, US
PETR LVOVICH VOLEGOV - LOS ALAMOS NM, US
JOHN STEVENS GEORGE - WHITE ROCK NM, US
ROBERT HENRY KRAUS - WHITE ROCK NM, US
PER MAGNELIND - LOS ALAMOS NM, US
ANDREI NIKOLAEVICH MATLASHOV - LOS ALAMOS NM, US
DON TUCKER - EUGENE OR, US
SERGEI TUROVETS - EUGENE OR, US
PETR LVOVICH VOLEGOV - LOS ALAMOS NM, US
International Classification:
A61B 5/05, G01R 33/54, A61B 5/0476, G01R 33/32
US Classification:
600409, 324322, 324309, 600544, 600554
Abstract:
Preferred systems can include an electrical impedance tomography apparatus electrically connectable to an object; an ultra low field magnetic resonance imaging apparatus including a plurality of field directions and disposable about the object; a controller connected to the ultra low field magnetic resonance imaging apparatus and configured to implement a sequencing of one or more ultra low magnetic fields substantially along one or more of the plurality of field directions; and a display connected to the controller, and wherein the controller is further configured to reconstruct a displayable image of an electrical current density in the object. Preferred methods, apparatuses, and computer program products are also disclosed.
System And Method For Automated Object Detection In An Image
US Patent:
2014007, Mar 13, 2014
Filed:
Sep 13, 2013
Appl. No.:
14/026730
Inventors:
Steven P. Brumby - Santa Fe NM, US
John S. George - White Rock NM, US
Dylan M. Paiton - Rio Rancho NM, US
Peter F. Schultz - Los Alamos NM, US
John S. George - White Rock NM, US
Dylan M. Paiton - Rio Rancho NM, US
Peter F. Schultz - Los Alamos NM, US
Assignee:
Los Alamos National Security, LLC - Los Alamos NM
International Classification:
G06K 9/80, G06K 9/46
US Classification:
382159, 382199
Abstract:
A contour/shape detection model may use relatively simple and efficient kernels to detect target edges in an object within an image or video. A co-occurrence probability may be calculated for two or more edge features in an image or video using an object definition. Edge features may be differentiated between in response to measured contextual support, and prominent edge features may be extracted based on the measured contextual support. The object may then be identified based on the extracted prominent edge features.
Scanning Computed Confocal Imager
US Patent:
6038067, Mar 14, 2000
Filed:
Feb 6, 1998
Appl. No.:
9/019863
Inventors:
John S. George - Los Alamos NM
Assignee:
The Regents of the University of California - Los Alamos NM
International Classification:
G02B 2100
US Classification:
359368
Abstract:
There is provided a confocal imager comprising a light source emitting a light, with a light modulator in optical communication with the light source for varying the spatial and temporal pattern of the light. A beam splitter receives the scanned light and direct the scanned light onto a target and pass light reflected from the target to a video capturing device for receiving the reflected light and transferring a digital image of the reflected light to a computer for creating a virtual aperture and outputting the digital image. In a transmissive mode of operation the invention omits the beam splitter means and captures light passed through the target.