Efficiently estimating projective transformations

R. Radke, P. Ramadge, T. Echigo, S. Iisaku

Research output: Contribution to conferencePaperpeer-review

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)
Number of pages4
StatePublished - 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

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

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