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Correspondence consensus of two sets of correspondences through optimisation functions.

Moreno-Garc�a, Carlos Francisco; Serratosa, Francesc

Authors

Francesc Serratosa



Abstract

We present a consensus method which, given the two correspondences between sets of elements generated by separate entities, enounces a final correspondence consensus considering the existence of outliers. Our method is based on an optimisation technique that minimises the cost of the correspondence while forcing (to the most) to be the mean correspondence of the two original correspondences. The method decides the mapping of the elements that the original correspondences disagree and returns the same element mapping when both correspondences agree. We first show the validity of the method through an experiment in ideal conditions based on palmprint identification, and subsequently present two practical experiments based on image retrieval.

Citation

MORENO-GARCÍA, C.F. and SERRATOSA, F. 2017. Correspondence consensus of two sets of correspondences through optimisation functions. Pattern analysis and applications [online], 20(1), pages 201-213. Available from: https://doi.org/10.1007/s10044-015-0486-y

Journal Article Type Article
Acceptance Date May 7, 2015
Online Publication Date May 28, 2015
Publication Date Feb 28, 2017
Deposit Date Feb 17, 2020
Publicly Available Date Mar 2, 2020
Journal Pattern analysis and applications
Print ISSN 1433-7541
Electronic ISSN 1433-755X
Publisher Springer
Peer Reviewed Peer Reviewed
Volume 20
Issue 1
Pages 201-213
DOI https://doi.org/10.1007/s10044-015-0486-y
Keywords Assignment problem; Consensus strategy; Weighted mean; Hamming distance; Optimisation
Public URL https://rgu-repository.worktribe.com/output/860407

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