Nonparametric correction of distortion

Daniel E. Stevenson, Margaret M. Fleck

Research output: Contribution to conferencePaper

Abstract

Images taken with wide-angle and inexpensive medium-angle lenses show substantial distortion, which will cause many computer vision applications to malfunction. Parametric calibration algorithms cannot handle the wide range of possible distortion functions and they require a known image center, expensive equipment, and/or estimation of unneeded parameters. We present a new algorithm to remove distortion. It is similar to the plumb line method but it (a) uses images of spheres rather than lines, (b) corrects to stereographic rather than perspective projection, (c) calibrates aspect ratio, and (d) uses a non-parametric distortion model.

Original languageEnglish (US)
Pages214-219
Number of pages6
StatePublished - Dec 1 1996
Externally publishedYes
EventProceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96 - Sarasota, FL, USA
Duration: Dec 2 1996Dec 4 1996

Other

OtherProceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96
CitySarasota, FL, USA
Period12/2/9612/4/96

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Nonparametric correction of distortion'. Together they form a unique fingerprint.

  • Cite this

    Stevenson, D. E., & Fleck, M. M. (1996). Nonparametric correction of distortion. 214-219. Paper presented at Proceedings of the 1996 3rd IEEE Workshop on Applications of Computer Vision, WACV'96, Sarasota, FL, USA, .