Reflection symmetry axes detection using multiple model fitting

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dc.contributor.author Nagar, Rajendra
dc.contributor.author Raman, Shanmuganathan
dc.date.accessioned 2017-08-30T07:33:32Z
dc.date.available 2017-08-30T07:33:32Z
dc.date.issued 2017-10
dc.identifier.citation Nagar, Rajendra and Raman, Shanmuganathan,"Reflection symmetry axes detection using multiple model fitting", IEEE Signal Processing Letters, DOI: 10.1109/LSP.2017.2735630, Aug. 2017. en_US
dc.identifier.issn 1070-9908
dc.identifier.uri http://dx.doi.org/10.1109/LSP.2017.2735630
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3058
dc.description.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.
dc.description.statementofresponsibility by Rajendra Nagar and Shanmuganathan Raman
dc.format.extent Vol. 24, No. 10, pp. 1438-1442
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Energy minimization en_US
dc.subject Reflection symmetry en_US
dc.title Reflection symmetry axes detection using multiple model fitting en_US
dc.type Article en_US
dc.relation.journal IEEE Signal Processing Letters


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