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The experiments showed that our proposed local features based classification ap-
proach outperforms the standard image similarity kNN approach in combination with
any of the defined image similarity functions, even the ones considering geometric con-
strains.
Acknowledgements. This work was partially supported by the VISITO Tuscany
project, funded by Regione Toscana, in the POR FESR 2007-2013 program, action
line 1.1.d, and the MOTUS project, funded by the Industria 2015 program.
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