Matches in SemOpenAlex for { <https://semopenalex.org/work/W2790396413> ?p ?o ?g. }
- W2790396413 abstract "Recent works showed that floating polygons can be an interesting alternative to traditional superpixels, especially for analyzing scenes with strong geometric signatures, as man-made environments. Existing algorithms produce homogeneously-sized polygons that fail to capture thin geometric structures and over-partition large uniform areas. We propose a kinetic approach that brings more flexibility on polygon shape and size. The key idea consists in progressively extending pre-detected line-segments until they meet each other. Our experiments demonstrate that output partitions both contain less polygons and better capture geometric structures than those delivered by existing methods. We also show the applicative potential of the method when used as preprocessing in object contouring." @default.
- W2790396413 created "2018-03-29" @default.
- W2790396413 creator A5076585669 @default.
- W2790396413 creator A5090582900 @default.
- W2790396413 date "2018-06-01" @default.
- W2790396413 modified "2023-10-01" @default.
- W2790396413 title "KIPPI: KInetic Polygonal Partitioning of Images" @default.
- W2790396413 cites W1483240902 @default.
- W2790396413 cites W1944585701 @default.
- W2790396413 cites W1982519420 @default.
- W2790396413 cites W2015592476 @default.
- W2790396413 cites W2043684015 @default.
- W2790396413 cites W2080514141 @default.
- W2790396413 cites W2111128036 @default.
- W2790396413 cites W2112825566 @default.
- W2790396413 cites W2116851763 @default.
- W2790396413 cites W2118246710 @default.
- W2790396413 cites W2121927366 @default.
- W2790396413 cites W2124351162 @default.
- W2790396413 cites W2131144595 @default.
- W2790396413 cites W2135431554 @default.
- W2790396413 cites W2148953571 @default.
- W2790396413 cites W2160072137 @default.
- W2790396413 cites W2399947893 @default.
- W2790396413 cites W243610207 @default.
- W2790396413 cites W2472471115 @default.
- W2790396413 cites W2519517723 @default.
- W2790396413 cites W2560094101 @default.
- W2790396413 cites W2609825896 @default.
- W2790396413 cites W2612271937 @default.
- W2790396413 cites W2739925627 @default.
- W2790396413 doi "https://doi.org/10.1109/cvpr.2018.00332" @default.
- W2790396413 hasPublicationYear "2018" @default.
- W2790396413 type Work @default.
- W2790396413 sameAs 2790396413 @default.
- W2790396413 citedByCount "20" @default.
- W2790396413 countsByYear W27903964132018 @default.
- W2790396413 countsByYear W27903964132019 @default.
- W2790396413 countsByYear W27903964132020 @default.
- W2790396413 countsByYear W27903964132021 @default.
- W2790396413 countsByYear W27903964132022 @default.
- W2790396413 countsByYear W27903964132023 @default.
- W2790396413 crossrefType "proceedings-article" @default.
- W2790396413 hasAuthorship W2790396413A5076585669 @default.
- W2790396413 hasAuthorship W2790396413A5090582900 @default.
- W2790396413 hasBestOaLocation W27903964132 @default.
- W2790396413 hasConcept C112680207 @default.
- W2790396413 hasConcept C11413529 @default.
- W2790396413 hasConcept C114614502 @default.
- W2790396413 hasConcept C121684516 @default.
- W2790396413 hasConcept C126042441 @default.
- W2790396413 hasConcept C154945302 @default.
- W2790396413 hasConcept C170542616 @default.
- W2790396413 hasConcept C181095308 @default.
- W2790396413 hasConcept C182124507 @default.
- W2790396413 hasConcept C182860218 @default.
- W2790396413 hasConcept C190694206 @default.
- W2790396413 hasConcept C197949415 @default.
- W2790396413 hasConcept C2524010 @default.
- W2790396413 hasConcept C26517878 @default.
- W2790396413 hasConcept C2779104521 @default.
- W2790396413 hasConcept C31487907 @default.
- W2790396413 hasConcept C31972630 @default.
- W2790396413 hasConcept C33923547 @default.
- W2790396413 hasConcept C34736171 @default.
- W2790396413 hasConcept C38652104 @default.
- W2790396413 hasConcept C41008148 @default.
- W2790396413 hasConcept C42812 @default.
- W2790396413 hasConcept C59902600 @default.
- W2790396413 hasConcept C7305733 @default.
- W2790396413 hasConcept C76155785 @default.
- W2790396413 hasConceptScore W2790396413C112680207 @default.
- W2790396413 hasConceptScore W2790396413C11413529 @default.
- W2790396413 hasConceptScore W2790396413C114614502 @default.
- W2790396413 hasConceptScore W2790396413C121684516 @default.
- W2790396413 hasConceptScore W2790396413C126042441 @default.
- W2790396413 hasConceptScore W2790396413C154945302 @default.
- W2790396413 hasConceptScore W2790396413C170542616 @default.
- W2790396413 hasConceptScore W2790396413C181095308 @default.
- W2790396413 hasConceptScore W2790396413C182124507 @default.
- W2790396413 hasConceptScore W2790396413C182860218 @default.
- W2790396413 hasConceptScore W2790396413C190694206 @default.
- W2790396413 hasConceptScore W2790396413C197949415 @default.
- W2790396413 hasConceptScore W2790396413C2524010 @default.
- W2790396413 hasConceptScore W2790396413C26517878 @default.
- W2790396413 hasConceptScore W2790396413C2779104521 @default.
- W2790396413 hasConceptScore W2790396413C31487907 @default.
- W2790396413 hasConceptScore W2790396413C31972630 @default.
- W2790396413 hasConceptScore W2790396413C33923547 @default.
- W2790396413 hasConceptScore W2790396413C34736171 @default.
- W2790396413 hasConceptScore W2790396413C38652104 @default.
- W2790396413 hasConceptScore W2790396413C41008148 @default.
- W2790396413 hasConceptScore W2790396413C42812 @default.
- W2790396413 hasConceptScore W2790396413C59902600 @default.
- W2790396413 hasConceptScore W2790396413C7305733 @default.
- W2790396413 hasConceptScore W2790396413C76155785 @default.
- W2790396413 hasLocation W27903964131 @default.
- W2790396413 hasLocation W27903964132 @default.
- W2790396413 hasLocation W27903964133 @default.
- W2790396413 hasLocation W27903964134 @default.