Autor según el artículo: Moreno-García C; Serratosa F
Departamento: Enginyeria Informàtica i Matemàtiques
Autor/es de la URV: MORENO GARCIA, CARLOS FRANCISCO / Serratosa Casanelles, Francesc d'Assís
Palabras clave: Munkres algorithm Graph edit distance Bipartite graph matching
Resumen: 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.
Áreas temáticas: Medicina i Matemática / probabilidade e estatística Interdisciplinar Engenharias iv Computer vision and pattern recognition Computer science, artificial intelligence Ciências biológicas i Ciência da computação Artificial intelligence Administração pública e de empresas, ciências contábeis e turismo
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
Direcció de correo del autor: francesc.serratosa@urv.cat
Identificador del autor: 0000-0001-6112-5913
Fecha de alta del registro: 2024-09-07
Versión del articulo depositado: info:eu-repo/semantics/acceptedVersion
Enlace a la fuente original: https://link.springer.com/article/10.1007/s10044-015-0486-y
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Referencia al articulo segun fuente origial: Pattern Analysis And Applications. 20 (1): 201-213
Referencia de l'ítem segons les normes APA: Moreno-García C; Serratosa F (2017). Correspondence consensus of two sets of correspondences through optimisation functions. Pattern Analysis And Applications, 20(1), 201-213. DOI: 10.1007/s10044-015-0486-y
DOI del artículo: 10.1007/s10044-015-0486-y
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2017
Tipo de publicación: Journal Publications
Repositori URV