Loading [a11y]/accessibility-menu.js
Reflection Symmetry Axes Detection Using Multiple Model Fitting | IEEE Journals & Magazine | IEEE Xplore

Reflection Symmetry Axes Detection Using Multiple Model Fitting


Abstract:

We propose an energy minimization approach to detect multiple reflection symmetry axes present in a given image representing fronto-parallel view of a scene. We perform l...Show More

Abstract:

We propose an energy minimization approach to detect multiple reflection symmetry axes present in a given image representing fronto-parallel view of a scene. We perform local feature matching to detect the pairs of mirror symmetric points, and in order to formulate an energy function, we use the geometric characteristics of the symmetry axis. That is, it passes through the midpoint of line segment joining the two mirror symmetric points and is perpendicular to the vector joining two mirror symmetric points. We propose a novel k-symmetry clustering algorithm to minimize this energy function in order to efficiently find all the symmetry axes present in the given image. We evaluate the proposed method on the standard datasets and show that we get comparable and better results than that of the state-of-the-art reflection symmetry detection methods.
Published in: IEEE Signal Processing Letters ( Volume: 24, Issue: 10, October 2017)
Page(s): 1438 - 1442
Date of Publication: 03 August 2017

ISSN Information:

Funding Agency:


References

References is not available for this document.