Articles producció científicaEnginyeria Informàtica i Matemàtiques

MSClique: Multiple structure discovery through the maximum weighted clique problem

  • Identification data

    Identifier:  imarina:9282598
    Handle: https://hdl.handle.net/20.500.11797/imarina9282598
    Authors:  Sanroma, Gerard; Penate-Sanchez, Adrian; Alquezar, Rene; Serratosa, Francesc; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Gonzalez Ballester, Miguel Angel
    Abstract:
    We present a novel approach for feature correspondence and multiple structure discovery in computer vision. In contrast to existing methods, we exploit the fact that point-sets on the same structure usually lie close to each other, thus forming clusters in the image. Given a pair of input images, we initially extract points of interest and extract hierarchical representations by agglomerative clustering. We use the maximum weighted clique problem to find the set of corresponding clusters with maximum number of inliers representing the multiple structures at the correct scales. Our method is parameter-free and only needs two sets of points along with their tentative correspondences, thus being extremely easy to use. We demonstrate the effectiveness of our method in multiple-structure fitting experiments in both publicly available and in-house datasets. As shown in the experiments, our approach finds a higher number of structures containing fewer outliers compared to state-of-the-art methods. © 2016 Sanroma et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

  • Others:

    Link to the original source: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0145846
    APA: Sanroma, Gerard; Penate-Sanchez, Adrian; Alquezar, Rene; Serratosa, Francesc; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Gonzalez Ballester, Miguel (2016). MSClique: Multiple structure discovery through the maximum weighted clique problem. Plos One, 11(1), e0145846-. DOI: 10.1371/journal.pone.0145846
    Paper original source: Plos One. 11 (1): e0145846-
    Article's DOI: 10.1371/journal.pone.0145846
    Journal publication year: 2016
    Entity: Universitat Rovira i Virgili
    Paper version: info:eu-repo/semantics/publishedVersion
    Record's date: 2024-10-12
    URV's Author/s: Serratosa Casanelles, Francesc d'Assís
    Department: Enginyeria Informàtica i Matemàtiques
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Publication Type: Journal Publications
    Author, as appears in the article.: Sanroma, Gerard; Penate-Sanchez, Adrian; Alquezar, Rene; Serratosa, Francesc; Moreno-Noguer, Francesc; Andrade-Cetto, Juan; Gonzalez Ballester, Miguel Angel
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Thematic Areas: Zootecnia / recursos pesqueiros, Sociology, Sociología, Serviço social, Saúde coletiva, Química, Psychology, Psicología, Planejamento urbano e regional / demografia, Odontología, Nutrição, Multidisciplinary sciences, Multidisciplinary, Medicine (miscellaneous), Medicina veterinaria, Medicina iii, Medicina ii, Medicina i, Materiais, Matemática / probabilidade e estatística, Linguística e literatura, Letras / linguística, Interdisciplinary research in the social sciences, Interdisciplinar, Human geography and urban studies, History & philosophy of science, Historia, Geografía, Geociências, General medicine, General biochemistry,genetics and molecular biology, General agricultural and biological sciences, Farmacia, Environmental studies, Ensino, Engenharias iv, Engenharias iii, Engenharias ii, Engenharias i, Enfermagem, Educação física, Educação, Economia, Direito, Demography, Comunicação e informação, Ciências sociais aplicadas i, Ciências biológicas iii, Ciências biológicas ii, Ciências biológicas i, Ciências ambientais, Ciências agrárias i, Ciência política e relações internacionais, Ciência de alimentos, Ciência da computação, Biotecnología, Biology, Biodiversidade, Biochemistry, genetics and molecular biology (miscellaneous), Astronomia / física, Arquitetura, urbanismo e design, Archaeology, Antropologia / arqueologia, Anthropology, Agricultural and biological sciences (miscellaneous), Administração, ciências contábeis e turismo, Administração pública e de empresas, ciências contábeis e turismo
    Author's mail: francesc.serratosa@urv.cat

  • Keywords:

    Writing
    Vision
    Theoretical model
    Priors
    Models
    theoretical
    Graph
    Extract
    Distance
    Algorithms
    Algorithm
    Agricultural and Biological Sciences (Miscellaneous)
    Biochemistry
    Genetics and Molecular Biology (Miscellaneous)
    Biology
    Medicine (Miscellaneous)
    Multidisciplinary
    Multidisciplinary Sciences
    Zootecnia / recursos pesqueiros
    Sociology
    Sociología
    Serviço social
    Saúde coletiva
    Química
    Psychology
    Psicología
    Planejamento urbano e regional / demografia
    Odontología
    Nutrição
    Medicina veterinaria
    Medicina iii
    Medicina ii
    Medicina i
    Materiais
    Matemática / probabilidade e estatística
    Linguística e literatura
    Letras / linguística
    Interdisciplinary research in the social sciences
    Interdisciplinar
    Human geography and urban studies
    History & philosophy of science
    Historia
    Geografía
    Geociências
    General medicine
    General biochemistry
    genetics and molecular biology
    General agricultural and biological sciences
    Farmacia
    Environmental studies
    Ensino
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Enfermagem
    Educação física
    Educação
    Economia
    Direito
    Demography
    Comunicação e informação
    Ciências sociais aplicadas i
    Ciências biológicas iii
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência política e relações internacionais
    Ciência de alimentos
    Ciência da computação
    Biotecnología
    Biodiversidade
    Astronomia / física
    Arquitetura
    urbanismo e design
    Archaeology
    Antropologia / arqueologia
    Anthropology
    Administração
    ciências contábeis e turismo
    Administração pública e de empresas

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