Joint affine and radiometric registration using kernel operators

Boaz Vigdor, Joseph M. Francos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A new global method for image registration in the presence of affine and radiometric deformations is introduced. The method proposed utilizes kernel operators in order to find corresponding regions without using local features. Application of polynomial type kernel functions results in a low complexity algorithm, allowing estimation of the radiometric deformation regardless of the affine geometric transformation. Preliminary experimentation shows high registration accuracy for the joint task, given real images with varying illuminations.

Original languageEnglish
Title of host publicationComputer Analysis of Images and Patterns - 13th International Conference, CAIP 2009, Proceedings
Pages549-556
Number of pages8
DOIs
StatePublished - 28 Sep 2009
Event13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009 - Munster, Germany
Duration: 2 Sep 20094 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5702 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Computer Analysis of Images and Patterns, CAIP 2009
Country/TerritoryGermany
CityMunster
Period2/09/094/09/09

Keywords

  • Global Invariants
  • Image Registration

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