Matches in SemOpenAlex for { <https://semopenalex.org/work/W2156786466> ?p ?o ?g. }
- W2156786466 abstract "We describe new formulations and develop fast algorithms for implicit surface reconstruction based on variational and partial differential equation (PDE) methods. In particular we use the level set method and fast sweeping and tagging methods to reconstruct surfaces from a scattered data set. The data set might consist of points, curves and/or surface patches. A weighted minimal surface-like model is constructed and its variational level set formulation is implemented with optimal efficiency. The reconstructed surface is smoother than piecewise linear and has a natural scaling in the regularization that allows varying flexibility according to the local sampling density. As is usual with the level set method we can handle complicated topology and deformations, as well as noisy or highly nonuniform data sets easily. The method is based on a simple rectangular grid, although adaptive and triangular grids are also possible. Some consequences, such as hole filling capability, are demonstrated, as well as the viability and convergence of our new fast tagging algorithm." @default.
- W2156786466 created "2016-06-24" @default.
- W2156786466 creator A5002037883 @default.
- W2156786466 creator A5069922005 @default.
- W2156786466 creator A5076561653 @default.
- W2156786466 date "2002-11-13" @default.
- W2156786466 modified "2023-10-18" @default.
- W2156786466 title "Fast surface reconstruction using the level set method" @default.
- W2156786466 cites W1540762735 @default.
- W2156786466 cites W1753524162 @default.
- W2156786466 cites W1973965874 @default.
- W2156786466 cites W1977946246 @default.
- W2156786466 cites W1991113069 @default.
- W2156786466 cites W1994875376 @default.
- W2156786466 cites W2002053510 @default.
- W2156786466 cites W2009422376 @default.
- W2156786466 cites W2021513670 @default.
- W2156786466 cites W2045545335 @default.
- W2156786466 cites W2065164181 @default.
- W2156786466 cites W2073371710 @default.
- W2156786466 cites W2078290150 @default.
- W2156786466 cites W2092072871 @default.
- W2156786466 cites W2096482875 @default.
- W2156786466 cites W2100816864 @default.
- W2156786466 cites W2101306141 @default.
- W2156786466 cites W2101560656 @default.
- W2156786466 cites W2132363464 @default.
- W2156786466 cites W2151783599 @default.
- W2156786466 cites W2154018969 @default.
- W2156786466 cites W2155346457 @default.
- W2156786466 cites W2158905481 @default.
- W2156786466 cites W2162837059 @default.
- W2156786466 cites W2171094068 @default.
- W2156786466 cites W3003181218 @default.
- W2156786466 cites W3146211051 @default.
- W2156786466 cites W4248230377 @default.
- W2156786466 cites W4254950616 @default.
- W2156786466 doi "https://doi.org/10.1109/vlsm.2001.938900" @default.
- W2156786466 hasPublicationYear "2002" @default.
- W2156786466 type Work @default.
- W2156786466 sameAs 2156786466 @default.
- W2156786466 citedByCount "257" @default.
- W2156786466 countsByYear W21567864662012 @default.
- W2156786466 countsByYear W21567864662013 @default.
- W2156786466 countsByYear W21567864662014 @default.
- W2156786466 countsByYear W21567864662015 @default.
- W2156786466 countsByYear W21567864662016 @default.
- W2156786466 countsByYear W21567864662017 @default.
- W2156786466 countsByYear W21567864662018 @default.
- W2156786466 countsByYear W21567864662019 @default.
- W2156786466 countsByYear W21567864662020 @default.
- W2156786466 countsByYear W21567864662021 @default.
- W2156786466 countsByYear W21567864662022 @default.
- W2156786466 countsByYear W21567864662023 @default.
- W2156786466 crossrefType "proceedings-article" @default.
- W2156786466 hasAuthorship W2156786466A5002037883 @default.
- W2156786466 hasAuthorship W2156786466A5069922005 @default.
- W2156786466 hasAuthorship W2156786466A5076561653 @default.
- W2156786466 hasBestOaLocation W21567864662 @default.
- W2156786466 hasConcept C11413529 @default.
- W2156786466 hasConcept C114614502 @default.
- W2156786466 hasConcept C124504099 @default.
- W2156786466 hasConcept C125269122 @default.
- W2156786466 hasConcept C126255220 @default.
- W2156786466 hasConcept C134306372 @default.
- W2156786466 hasConcept C153008295 @default.
- W2156786466 hasConcept C154945302 @default.
- W2156786466 hasConcept C162324750 @default.
- W2156786466 hasConcept C164660894 @default.
- W2156786466 hasConcept C177264268 @default.
- W2156786466 hasConcept C184720557 @default.
- W2156786466 hasConcept C187691185 @default.
- W2156786466 hasConcept C199360897 @default.
- W2156786466 hasConcept C20885615 @default.
- W2156786466 hasConcept C2524010 @default.
- W2156786466 hasConcept C2776135515 @default.
- W2156786466 hasConcept C2776799497 @default.
- W2156786466 hasConcept C2777303404 @default.
- W2156786466 hasConcept C33923547 @default.
- W2156786466 hasConcept C41008148 @default.
- W2156786466 hasConcept C50522688 @default.
- W2156786466 hasConcept C89600930 @default.
- W2156786466 hasConcept C93779851 @default.
- W2156786466 hasConcept C99844830 @default.
- W2156786466 hasConceptScore W2156786466C11413529 @default.
- W2156786466 hasConceptScore W2156786466C114614502 @default.
- W2156786466 hasConceptScore W2156786466C124504099 @default.
- W2156786466 hasConceptScore W2156786466C125269122 @default.
- W2156786466 hasConceptScore W2156786466C126255220 @default.
- W2156786466 hasConceptScore W2156786466C134306372 @default.
- W2156786466 hasConceptScore W2156786466C153008295 @default.
- W2156786466 hasConceptScore W2156786466C154945302 @default.
- W2156786466 hasConceptScore W2156786466C162324750 @default.
- W2156786466 hasConceptScore W2156786466C164660894 @default.
- W2156786466 hasConceptScore W2156786466C177264268 @default.
- W2156786466 hasConceptScore W2156786466C184720557 @default.
- W2156786466 hasConceptScore W2156786466C187691185 @default.
- W2156786466 hasConceptScore W2156786466C199360897 @default.
- W2156786466 hasConceptScore W2156786466C20885615 @default.
- W2156786466 hasConceptScore W2156786466C2524010 @default.