Michael W Neff

US Patent:

59829451, Nov 9, 1999

Filed:

Jan 13, 1998

Appl. No.:

9/006130

Inventors:

Michael G. Neff - Ferguson MO
Ted L. Johnson - Florissant MO
Steven A. Wright - St. Louis MO
Victor E. Ratkowski - St. Louis MO

Assignee:

McDonnell Douglas Corporation - St. Louis MO

International Classification:

G06K 900
G06K 934
G06K 938
G06K 962
G06K 964

US Classification:

382271

Abstract:

The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N. sub. T which form the template and for determining the number of pixels N. sub. i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j representative of a predetermined gray level j which correspond to the template.

US Patent:

58091718, Sep 15, 1998

Filed:

Jan 5, 1996

Appl. No.:

8/583598

Inventors:

Michael G. Neff - Ferguson MO
Ted L. Johnson - Florissant MO
Steven A. Wright - St. Louis MO
Victor E. Ratkowski - St. Louis MO

Assignee:

McDonnell Douglas Corporation - St. Louis MO

International Classification:

G06K 962
G06K 968
G06F 15316

US Classification:

382209

Abstract:

The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N. sub. T which form the template and for determining the number of pixels N. sub. i which form each of the labels i. The image correlation apparatus also includes comparator for comparing the test image to the template. The comparator respectively determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparator respectively also determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j representative of a predetermined gray level j which correspond to the template.

US Patent:

59464224, Aug 31, 1999

Filed:

Jan 13, 1998

Appl. No.:

9/006124

Inventors:

Michael G. Neff - Ferguson MO
Ted L. Johnson - Florissant MO
Steven A. Wright - Troy MO
Victor E. Ratkowski - St. Louis MO

Assignee:

McDonnell Douglas Corporation

International Classification:

G06F 15316

US Classification:

382278

Abstract:

The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N. sub. T which form the template and for determining the number of pixels N. sub. i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j representative of a predetermined gray level j which correspond to the template.

US Patent:

59829303, Nov 9, 1999

Filed:

Jan 13, 1998

Appl. No.:

9/006402

Inventors:

Michael G. Neff - Ferguson MO
Ted L. Johnson - Florissant MO
Steven A. Wright - St. Louis MO
Victor E. Ratkowski - St. Louis MO

Assignee:

McDonnell Douglas Corporation - St. Louis MO

International Classification:

G06K 962
G06K 964

US Classification:

382209

Abstract:

The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N. sub. T which form the template and for determining the number of pixels N. sub. i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j representative of a predetermined gray level j which correspond to the template.

US Patent:

58908080, Apr 6, 1999

Filed:

Jan 13, 1998

Appl. No.:

/006407

Inventors:

Michael G. Neff - Ferguson MO
Ted L. Johnson - Florissant MO
Steven A. Wright - St. Louis MO
Victor E. Ratkowski - St. Louis MO

Assignee:

McDonnell Douglas Corporation - St. Louis MO

International Classification:

G06K 900
G06K 962
G06K 968
G06K 974

US Classification:

382209

Abstract:

The image correlation method and apparatus correlates or matches a test image with a template. The image correlation apparatus includes an image processor for partitioning the template into a number of labels, for determining the total number of pixels N. sub. T which form the template and for determining the number of pixels N. sub. i which form each of the labels i. The image correlation apparatus also includes comparison means for comparing the test image to the template. The comparison means determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j,i representative of a predetermined gray level j which correspond to a predetermined label i of the template. The comparison means also determines, for each predetermined gray level j, the number of pixels of the test image N. sub. j representative of a predetermined gray level j which correspond to the template.

US Patent:

20160202354, Jul 14, 2016

Filed:

Oct 26, 2015

Appl. No.:

14/923337

Inventors:

- CHICAGO IL, US
Shirley N. Cheng - Richmond Heights MO, US
Michael G. Neff - Lake Saint Louis MO, US

International Classification:

G01S 13/89
G01S 7/41
G01S 13/87

Abstract:

Methods and apparatus for providing a dynamic target impact point sweetener is disclosed. An example method includes identifying a target based on a composite three-dimensional image generated based on data received from a first aerial vehicle acting as a master vehicle and a second aerial vehicle acting as a slave vehicle; changing a role of the first aerial vehicle to the slave vehicle; changing the role of the second aerial vehicle to the master vehicle; and causing, using the second aerial vehicle acting as the master vehicle, a third vehicle to attack the target based on the identity of the target.

US Patent:

20070271032, Nov 22, 2007

Filed:

May 17, 2006

Appl. No.:

11/383919

Inventors:

Shirley N. Cheng - Richmond Heights MO, US
Michael G. Neff - Lake St. Louis MO, US
Ted L. Johnson - Florissant MO, US

Assignee:

THE BOEING COMPANY - Chicago IL

International Classification:

G01C 21/00

US Classification:

701207, 34053913

Abstract:

Systems and methods having front end filters for data links for improved tracking of moving objects are disclosed. In one embodiment, a method includes sensing at least one characteristic of a moveable object using a sensor of an acquisition system, and sensing at least one characteristic of the moveable object using an auxiliary sensor. A data link update is transmitted from the auxiliary sensor to the acquisition system, and the data link update is conditioned to provide composite likelihood. The conditioning includes differencing the data link update and at least one predicted characteristic of the moveable object to produce at least one residual (e.g. using a plurality of Kalman filters). A viewing direction of the sensor may be adjusted based at least in part on the composite likelihood. In another embodiment, residuals are projected along sensor line of sight to form a multi-modal non-Gaussian composite likelihood.

Address:

1301 Sequoia Pl, Davis, CA 95616

Phone:

5307587628

VIN:

JTDKN3DU9A0016207

Make:

TOYOTA

Model:

PRIUS

Year:

2010