COMPUTING DISSIMILARITY MEASURES

Patent №

US 7,388,987

Granted

2008-06-17

Filed 2004

Owner

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

Lab

AI components

2

vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10857561

Methods, machines, and machine-readable media for computing dissimilarity measures are described. In one aspect, a first set of pixel neighborhood values (PNVs) is computed from respective sets of pixel values of a first image corresponding to different spatially-shifted pixel neighborhoods each encompassing a mutual target pixel in the first image. A second set of PNVs is computed from respective sets of pixel values of a second image corresponding to different spatially-shifted pixel neighborhoods each encompassing a mutual target pixel in the second image. A measure of dissimilarity is computed based at least in part on the first and second sets of computed PNVs. The computed dissimilarity measure is stored on a machine-readable medium.

AI classification

Vision1.00
AI hardware1.00
Machine learning0.16
Evolutionary computation0.02
Knowledge representation0.00
Planning0.00
Natural language0.00
Speech0.00

Ownership

HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.

assignment · 154230196

Assignors

CHEN, MEI

On an employer assignment, the assignors are typically the inventors.

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