Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017306084> ?p ?o ?g. }
- W2017306084 endingPage "1188" @default.
- W2017306084 startingPage "1178" @default.
- W2017306084 abstract "Dynamic simulation and high quality FEA mesh generation need the CAD mesh model to be simplified, that is, suppressing the detailed features on the mesh without any changes to the rest. However, the traditional mesh simplification methods for graphical models can not satisfy the requirements of CAD mesh simplification. In this paper, we develop a feature suppression based CAD mesh model simplification framework. First, the CAD mesh model is segmented by an improved watershed segmentation algorithm, constructing the region-level representation required by feature recognition. Second, the form features needing to be suppressed are extracted using a feature recognition method with user defined feature facility based on the region-level representation, establishing the feature-level representation. Third, every recognized feature is suppressed using the most suitable one of the three methods, i.e. planar Delaunay triangulation, Poisson equation based method, and the method for blend features, thus simplifying the CAD mesh model. Our method provides an effective way to make CAD mesh model simplification meet the requirements of engineering applications. Several experimental results are presented to show the superiority and effectivity of our approach." @default.
- W2017306084 created "2016-06-24" @default.
- W2017306084 creator A5010927583 @default.
- W2017306084 creator A5040153479 @default.
- W2017306084 creator A5065581232 @default.
- W2017306084 creator A5070014405 @default.
- W2017306084 creator A5076768386 @default.
- W2017306084 date "2010-12-01" @default.
- W2017306084 modified "2023-09-24" @default.
- W2017306084 title "Feature suppression based CAD mesh model simplification" @default.
- W2017306084 cites W1973414297 @default.
- W2017306084 cites W1973947322 @default.
- W2017306084 cites W1977758817 @default.
- W2017306084 cites W1981349497 @default.
- W2017306084 cites W1987511058 @default.
- W2017306084 cites W1988658389 @default.
- W2017306084 cites W1995870875 @default.
- W2017306084 cites W1998255762 @default.
- W2017306084 cites W2009422376 @default.
- W2017306084 cites W2014557023 @default.
- W2017306084 cites W2021232602 @default.
- W2017306084 cites W2030959125 @default.
- W2017306084 cites W2040615587 @default.
- W2017306084 cites W2045471990 @default.
- W2017306084 cites W2053676025 @default.
- W2017306084 cites W2057277652 @default.
- W2017306084 cites W2064008635 @default.
- W2017306084 cites W2064058834 @default.
- W2017306084 cites W2067529060 @default.
- W2017306084 cites W2076964314 @default.
- W2017306084 cites W2091742005 @default.
- W2017306084 cites W2093260076 @default.
- W2017306084 cites W2096564292 @default.
- W2017306084 cites W2105687228 @default.
- W2017306084 cites W2116707521 @default.
- W2017306084 cites W2121717885 @default.
- W2017306084 cites W2153835178 @default.
- W2017306084 cites W2157705562 @default.
- W2017306084 cites W2159824834 @default.
- W2017306084 cites W2165764797 @default.
- W2017306084 cites W2235901111 @default.
- W2017306084 cites W2997144757 @default.
- W2017306084 cites W4206679381 @default.
- W2017306084 cites W4230163235 @default.
- W2017306084 cites W4252299544 @default.
- W2017306084 doi "https://doi.org/10.1016/j.cad.2010.05.010" @default.
- W2017306084 hasPublicationYear "2010" @default.
- W2017306084 type Work @default.
- W2017306084 sameAs 2017306084 @default.
- W2017306084 citedByCount "67" @default.
- W2017306084 countsByYear W20173060842012 @default.
- W2017306084 countsByYear W20173060842013 @default.
- W2017306084 countsByYear W20173060842014 @default.
- W2017306084 countsByYear W20173060842015 @default.
- W2017306084 countsByYear W20173060842016 @default.
- W2017306084 countsByYear W20173060842017 @default.
- W2017306084 countsByYear W20173060842018 @default.
- W2017306084 countsByYear W20173060842019 @default.
- W2017306084 countsByYear W20173060842020 @default.
- W2017306084 countsByYear W20173060842021 @default.
- W2017306084 countsByYear W20173060842022 @default.
- W2017306084 crossrefType "journal-article" @default.
- W2017306084 hasAuthorship W2017306084A5010927583 @default.
- W2017306084 hasAuthorship W2017306084A5040153479 @default.
- W2017306084 hasAuthorship W2017306084A5065581232 @default.
- W2017306084 hasAuthorship W2017306084A5070014405 @default.
- W2017306084 hasAuthorship W2017306084A5076768386 @default.
- W2017306084 hasConcept C101814296 @default.
- W2017306084 hasConcept C11413529 @default.
- W2017306084 hasConcept C117258860 @default.
- W2017306084 hasConcept C127413603 @default.
- W2017306084 hasConcept C134306372 @default.
- W2017306084 hasConcept C135628077 @default.
- W2017306084 hasConcept C135981907 @default.
- W2017306084 hasConcept C138885662 @default.
- W2017306084 hasConcept C153180895 @default.
- W2017306084 hasConcept C154945302 @default.
- W2017306084 hasConcept C160403270 @default.
- W2017306084 hasConcept C17744445 @default.
- W2017306084 hasConcept C180863505 @default.
- W2017306084 hasConcept C181145010 @default.
- W2017306084 hasConcept C194789388 @default.
- W2017306084 hasConcept C199360897 @default.
- W2017306084 hasConcept C199539241 @default.
- W2017306084 hasConcept C199639397 @default.
- W2017306084 hasConcept C2524010 @default.
- W2017306084 hasConcept C2776359362 @default.
- W2017306084 hasConcept C2776401178 @default.
- W2017306084 hasConcept C2777904410 @default.
- W2017306084 hasConcept C33923547 @default.
- W2017306084 hasConcept C41008148 @default.
- W2017306084 hasConcept C41895202 @default.
- W2017306084 hasConcept C62354387 @default.
- W2017306084 hasConcept C66938386 @default.
- W2017306084 hasConcept C68010082 @default.
- W2017306084 hasConcept C94625758 @default.
- W2017306084 hasConceptScore W2017306084C101814296 @default.
- W2017306084 hasConceptScore W2017306084C11413529 @default.