Efficiently estimating projective transformations

R. Radke, Peter Jeffrey Ramadge, T. Echigo, S. Iisaku

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

9 Scopus citations


The general least squares problem for estimating a projective transformation that can be analytically reduced to a two-dimensional minimization is addressed. A particular algorithm that is a combination of a projection and an approximate Gauss-Newton scheme is proposed. It is shown that the algorithm efficiently solves the least squares.

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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