Joint affine and illumination estimation using scale manipulation features

Kobi Bentolila, Joseph M. Francos

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

1 Scopus citations

Abstract

We present a novel image transform called Scale Manipulation Features (SMF). The transform calculates affine invariant features of objects in a global manner and avoids using any sort of edge detection. The transform can be used for registration of affine transformed images in the presence of non homogenous illumination changes and for estimation of the illumination changes. The computational load of the method is relatively low since it is linear in the data size. In this paper we introduce the transform and demonstrate its applications for illumination compensation and for object registration in the presence of an affine geometric transformation and varying illumination.

Original languageEnglish
Title of host publicationImage Analysis and Processing - ICIAP 2009 - 15th International Conference, Proceedings
Pages844-852
Number of pages9
DOIs
StatePublished - 1 Dec 2009
Event15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings - Vietri sul Mare, Italy
Duration: 8 Sep 200911 Sep 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5716 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Image Analysis and Processing - ICIAP 2009, Proceedings
Country/TerritoryItaly
CityVietri sul Mare
Period8/09/0911/09/09

Keywords

  • Affine invariance
  • Affine invariant features
  • Geometric distortion
  • Illumination invariance
  • Image transform

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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