ON OPTIMIZING TEMPLATE MATCHING VIA PERFORMANCE CHARACTERIZATION

Patent №

US 7,865,019

Granted

2011-01-04

Filed 2006

Owner

SIEMENS CORPORATE RESEARCH, INC.

Lab

AI components

4

ml · vision · planning · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11493311

The performance of template matching is characterized by deriving the distribution of warp parameter estimate as a function of the ideal template, the ideal warp parameters and a given perturbation or noise model. An expression for the Probability Mass Function of the parameter estimate is provided. The optimal template size for template matching is the one that provides the best matching performance which is calculated from the minimum entropy of the parameter estimate.

AI classification

Vision1.00
Planning0.99
Machine learning0.99
Evolutionary computation0.71
Speech0.01
Natural language0.00
AI hardware0.00
Knowledge representation0.00

Ownership

SIEMENS CORPORATE RESEARCH, INC.

assignment · 183540271

Assignors

HAN, TONY, RAMESH, VISVANATHAN, ZHU, YING

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

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