Optimal supports for image matching

Michael S. Lew, Thomas S. Huang

Research output: Contribution to conferencePaperpeer-review

Abstract

The information theoretic approach provides a foundation for determining new insights and solutions toward image modeling and analysis problems. The underlying principle is that search through an image can be viewed as a reduction of uncertainty in the classification of the image. Specifically, we propose using the Kullback relative information for the determination of the support which maximizes the feature class separation, which consequently should minimize the probability of misclassifications. The methods are applied to face detection and two view image matching using internationally available databases.

Original languageEnglish (US)
Pages251-254
Number of pages4
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway
Duration: Sep 1 1996Sep 4 1996

Other

OtherProceedings of the 1996 7th IEEE Digital Signal Processing Workshop
CityLoen, Norway
Period9/1/969/4/96

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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