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Optimization of the Hölder Image Descriptor using a Genetic Algorithm

hal.structure.identifierInstituto Tecnológico de Tijuana = Tijuana Institute of Technology [Tijuana]
dc.contributor.authorTRUJILLO, Leonardo
hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorLEGRAND, Pierrick
hal.structure.identifierCentro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
dc.contributor.authorOLAGUE, Gustavo
hal.structure.identifierCentro de Investigacion Cientifica y de Education Superior de Ensenada [Mexico] [CICESE]
dc.contributor.authorPÉREZ, Cynthia
dc.date.issued2010
dc.date.conference2010-07-07
dc.description.abstractEnLocal image features can provide the basis for robust and invariant recognition of objects and scenes. Therefore, compact and distinctive representations of local shape and appearance has become invaluable in modern computer vision. In this work,we study a local descriptor based on the Hölder exponent, a measure of signal regularity. The proposal is to find an optimal number of dimensions for the descriptor using a genetic algorithm (GA). To guide the GA search, fitness is computed based on the performance of the descriptor when applied to standard region matching problems. This criterion is quantified using the F-Measure, derived from recall and precision analysis. Results show that it is possible to reduce the size of the canonical Hölder descriptor without degrading the quality of its performance. In fact, the best descriptor found through the GA search is nearly 70% smaller and achieves similar performance on standard tests.
dc.language.isoen
dc.title.enOptimization of the Hölder Image Descriptor using a Genetic Algorithm
dc.typeCommunication dans un congrès
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halInformatique [cs]/Apprentissage [cs.LG]
dc.subject.halInformatique [cs]/Intelligence artificielle [cs.AI]
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.page1147-1154
bordeaux.volumeISBN 978-1-4503-0072-8
bordeaux.conference.titleGECCO 2010. Best paper award in "Real world applications".
bordeaux.countryUS
bordeaux.conference.cityPortland Oregon
bordeaux.peerReviewedoui
hal.identifierinria-00534457
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2010-07-11
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00534457v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2010&rft.volume=ISBN%20978-1-4503-0072-8&rft.spage=1147-1154&rft.epage=1147-1154&rft.au=TRUJILLO,%20Leonardo&LEGRAND,%20Pierrick&OLAGUE,%20Gustavo&P%C3%89REZ,%20Cynthia&rft.genre=unknown


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