Simple direct computation of the FOE with confidence measures

S. Negahdaripour, V. Ganesan

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

4 Scopus citations

Abstract

A direct method is proposed for locating the focus of expansion, based on simple parallel computations in selected regions of the image; each is a circular patch around an estimated focus of expansion (FOE). Simple computations allow determining the direction from the estimated to the true 400FOE. The best estimate of the intersection of the so-called FOE constraint lines for each region gives the location of the FOE. Some analysis allows a confidence measure to be assigned to the information from each local region, in order to give more weighting to the most reliable data. Hence, the FOE can be located with more accuracy, even when the data from various local regions lack sufficient information.

Original languageEnglish (US)
Title of host publicationProceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE Computer Society
Pages228-235
Number of pages8
ISBN (Electronic)0818628553
DOIs
StatePublished - Jan 1 1992
Externally publishedYes
Event1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States
Duration: Jun 15 1992Jun 18 1992

Publication series

NameProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume1992-June
ISSN (Print)1063-6919

Conference

Conference1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992
CountryUnited States
CityChampaign
Period6/15/926/18/92

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Negahdaripour, S., & Ganesan, V. (1992). Simple direct computation of the FOE with confidence measures. In Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition (pp. 228-235). [223270] (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; Vol. 1992-June). IEEE Computer Society. https://doi.org/10.1109/CVPR.1992.223270