A new affine registration algorithm for matching 2D point sets

Jeffrey Ho, Ming Hsuan Yang, Anand Rangarajan, Baba Vemuri

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

35 Citations (Scopus)

Abstract

We propose a novel affine registration algorithm for matching 2D feature points. Unlike many previously published work on affine point matching, the proposed algorithm does not require any optimization and in the absence of data noise, the algorithm will recover the exact affine transformation and the unknown correspondence. The twostep algorithm first reduces the general affine case to the orthogonal case, and the unknown rotation is computed as the roots of a low-degree polynomial with complex coefficients. The algebraic and geometric ideas behind the proposed method are both clear and transparent, and its implementation is straightforward. We validate the algorithm on a variety of synthetic 2D point sets as well as feature points on images of real-world objects.

Original languageEnglish
Title of host publicationProceedings - IEEE Workshop on Applications of Computer Vision, WACV 2007
DOIs
Publication statusPublished - 2007 Aug 1
Event7th IEEE Workshop on Applications of Computer Vision, WACV 2007 - Austin, TX, United States
Duration: 2007 Feb 212007 Feb 22

Publication series

NameProceedings - IEEE Workshop on Applications of Computer Vision, WACV 2007

Conference

Conference7th IEEE Workshop on Applications of Computer Vision, WACV 2007
CountryUnited States
CityAustin, TX
Period07/2/2107/2/22

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Software

Fingerprint Dive into the research topics of 'A new affine registration algorithm for matching 2D point sets'. Together they form a unique fingerprint.

  • Cite this

    Ho, J., Yang, M. H., Rangarajan, A., & Vemuri, B. (2007). A new affine registration algorithm for matching 2D point sets. In Proceedings - IEEE Workshop on Applications of Computer Vision, WACV 2007 [4118754] (Proceedings - IEEE Workshop on Applications of Computer Vision, WACV 2007). https://doi.org/10.1109/WACV.2007.6