Error stabilization in successive estimation of registration parameters

V. Zagorodnov, Peter Jeffrey Ramadge

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit the error growth and greatly improve performance. We propose different approaches to the analytical evaluation of the performance of this estimation as a function of the sequence length and the maximum distance of allowed measurements.

Original languageEnglish (US)
Title of host publicationIEEE International Conference on Image Processing
Number of pages4
StatePublished - Dec 1 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000


OtherInternational Conference on Image Processing (ICIP 2000)
CityVancouver, BC

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering


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