Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Felipe Belém"'
Autor:
Felipe Belém, Isabela Borlido, Leonardo João, Benjamin Perret, Jean Cousty, Silvio J. F. Guimarães, Alexandre Falcão
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198960
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3e8ba0567af26f37d4d5f4f50a5191e
https://doi.org/10.1007/978-3-031-19897-7_21
https://doi.org/10.1007/978-3-031-19897-7_21
Autor:
Felipe Belém, Alexandre X. Falcão, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio, Laurent Najman, Sarah Almeida Carneiro, Carolina Stephanie Jerônimo de Almeida
Publikováno v:
Discrete Geometry and Mathematical Morphology (DGMM)
Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
Discrete Geometry and Mathematical Morphology (DGMM), May 2021, Uppsala, Sweden
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
Supervoxel segmentation leads to major improvements in video analysis since it generates simpler but meaningful primitives (i.e., supervoxels). Thanks to the flexibility of the Iterative Spanning Forest (ISF) framework and recent strategies introduce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edd45e134facf4b3ea29504c9541cf23
https://hal.archives-ouvertes.fr/hal-03171076
https://hal.archives-ouvertes.fr/hal-03171076
Autor:
Felipe Belém, Alexandre X. Falcão, Isabela Borlido Barcelos, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber Gonçalves do Patrocínio, Paulo A. V. Miranda
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030766566
DGMM
DGMM
Interactive image segmentation aims to partition the image into background and foreground objects by taking into account seeds inserted by users. Nowadays, many methods are capable of generating segmentations with few user interactions, especially re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a5cccf794bdb153aaaff0d46e76d074
https://doi.org/10.1007/978-3-030-76657-3_25
https://doi.org/10.1007/978-3-030-76657-3_25
Publikováno v:
Anais Estendidos da Conference on Graphics, Patterns and Images (SIBRAPI Estendido 2020).
Superpixel segmentation methods aim to partition the image into homogeneous connected regions of pixels (i.e., superpixels) such that the union of its comprising superpixels precisely defines the objects of interest. However, the homogeneity criterio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d920e5a04e2496cb917a53967789357b
https://doi.org/10.5753/sibgrapi.est.2020.12979
https://doi.org/10.5753/sibgrapi.est.2020.12979
As constituent parts of image objects, superpixels can improve several higher-level operations. However, image segmentation methods might have their accuracy seriously compromised for reduced numbers of superpixels. We have investigated a solution ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72233b4275a2d1ad692460ea6b7ff9e2
Publikováno v:
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications ISBN: 9783030134686
CIARP
CIARP
Superpixel segmentation methods aim at representing image objects by the union of connected regions (superpixels). Such aim can be better approximated with a higher number of superpixels per object, which often leads to an unnecessary over-segmentati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ddadee3c1dd93d22de6dd5a8dae0623
https://doi.org/10.1007/978-3-030-13469-3_39
https://doi.org/10.1007/978-3-030-13469-3_39