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Nigel Boston Phones & Addresses

  • North Port, FL
  • 10 Kenosha Dr, Madison, WI 53705 (608) 238-3723
  • Urbana, IL
  • 10 N Kenosha Dr, Madison, WI 53705 (608) 298-7117

Work

Position: Educator

Education

Degree: Graduate or professional degree

Resumes

Resumes

Nigel Boston Photo 1

Professor Of Mathematics And Ece

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Location:
Madison, WI
Industry:
Higher Education
Work:
University of Wisconsin-Madison
Professor of Mathematics and Ece

University of Wisconsin-Madison
Professor
Education:
Harvard University 1983 - 1987
Doctorates, Doctor of Philosophy, Mathematics
Skills:
Software
Nigel Boston Photo 2

Professor At University Of Wisconsin

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Position:
Professor at University of Wisconsin
Location:
Madison, Wisconsin Area
Industry:
Higher Education
Work:
University of Wisconsin
Professor

Publications

Wikipedia References

Nigel Boston Photo 3

Nigel Boston

About:
Born:

20 July 1961

Work:
Area of science:

Mathematician

Company:

University of Wisconsin–Madison faculty

Education:
Studied at:

Harvard University

Area of science:

Algebraic number theory

Skills & Activities:
Ascribed status:

Fellow of the American Mathematical Society

Nigel Boston Photo 4

Nigel Boston

Us Patents

Systems And Methods For Recognizing Objects In An Image

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US Patent:
20070071325, Mar 29, 2007
Filed:
Jan 10, 2006
Appl. No.:
11/328862
Inventors:
Wei-Yang Lin - Madison WI, US
Nigel Boston - Madison WI, US
Yu Hen Hu - Middleton WI, US
International Classification:
G06K 9/48
US Classification:
382199000
Abstract:
An image is analyzed to locate an object appearing in the image. A contour of that object is extracted from the image and normalized. Based on the normalized contour, one or more summation invariant values are determined and compared to templates comprising one or more summation invariants for each of one or more target objects. The determined summation invariants for the extracted object are compared to summation invariants for the target objects. When the summation invariants for the extracted object sufficiently match the summation invariants determined from an image of a target object, the extracted object is recognized as that target object. The summation invariants can be semi-local summation invariants determined for each point along the normalized contour, based on a number of points neighboring that point on the normalized contour. The semi-local summation invariants are determined as a function of the x and y coordinates of those points.
Nigel Boston from North Port, FL, age ~63 Get Report