Skip to main content
Log in

Comparison of face profiles based on homeomorphism

  • Applied Problems
  • Published:
Pattern Recognition and Image Analysis Aims and scope Submit manuscript

Abstract

A solution to the problem of person identification by facial profile is proposed. The approach includes the extraction of the profile from an image, building a profile vector representation, and comparing the profiles on the basis of homeomorphism. Results of the experiments estimating the recognition rate, optimizing the parameter values of the method, and testing its sensitivity to input data variation are reported.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. I. A. Reyer, “Plane Figure Recognition Based on Contour Homeomorphism,” Pattern Recognition and Image Analysis 11(1), 242–245 (2001).

    Google Scholar 

  2. L. M. Mestetskii, “Continuous Skeleton of Binary Raster Image,” in Proceedings of Int. Conf. Graphicon-98, Moscow, 1998 [in Russian].

  3. G. A. Baxes, Digital Image Processing (Wiley, New York, 1994).

    Google Scholar 

  4. K. R. Castelman, Digital Image Processing (Prentice-Hall, Englewood Cliffs, 1996).

    Google Scholar 

  5. T. Sederberg and E. Greenwood, “A Physically Based Approach to 2D Shape Blending,” in Proceedings of the 19th Annual Conference on Computer Graphics and Interactive Techniques SIGGRAPH℉92, Chicago, 1992, Vol. 26, pp. 25–34.

Download references

Author information

Authors and Affiliations

Authors

Additional information

The article was translated by the authors.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Reyer, I.A., Zhukova, K.V. Comparison of face profiles based on homeomorphism. Pattern Recognit. Image Anal. 16, 43–45 (2006). https://doi.org/10.1134/S1054661806010135

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1054661806010135

Keywords

Navigation