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

Abstract

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
Pages232-235
Number of pages4
Volume1
StatePublished - Dec 1 2000
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: Sep 10 2000Sep 13 2000

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period9/10/009/13/00

All Science Journal Classification (ASJC) codes

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

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