Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308237197> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4308237197 abstract "Shape modeling is a challenging task with many potential applications in computer vision and medical imaging. There are many shape modeling methods in the literature, each with its advantages and applications. However, many shape modeling methods have difficulties handling shapes that have missing pieces or outliers. In this regard, this paper introduces shape denoising, a fundamental problem in shape modeling that lies at the core of many computer vision and medical imaging applications and has not received enough attention in the literature. The paper introduces six types of noise that can be used to perturb shapes as well as an objective measure for the noise level and for comparing methods on their shape denoising capabilities. Finally, the paper evaluates seven methods capable of accomplishing this task, of which six are based on deep learning, including some generative models." @default.
- W4308237197 created "2022-11-09" @default.
- W4308237197 creator A5044528555 @default.
- W4308237197 creator A5052175239 @default.
- W4308237197 date "2022-10-16" @default.
- W4308237197 modified "2023-09-30" @default.
- W4308237197 title "A Study of Shape Modeling Against Noise" @default.
- W4308237197 cites W1903029394 @default.
- W4308237197 cites W2037144803 @default.
- W4308237197 cites W2038952578 @default.
- W4308237197 cites W2055755574 @default.
- W4308237197 cites W2057175746 @default.
- W4308237197 cites W2083008752 @default.
- W4308237197 cites W2091804476 @default.
- W4308237197 cites W2115425050 @default.
- W4308237197 cites W2159372453 @default.
- W4308237197 cites W2412782625 @default.
- W4308237197 doi "https://doi.org/10.1109/icip46576.2022.9897654" @default.
- W4308237197 hasPublicationYear "2022" @default.
- W4308237197 type Work @default.
- W4308237197 citedByCount "0" @default.
- W4308237197 crossrefType "proceedings-article" @default.
- W4308237197 hasAuthorship W4308237197A5044528555 @default.
- W4308237197 hasAuthorship W4308237197A5052175239 @default.
- W4308237197 hasConcept C115961682 @default.
- W4308237197 hasConcept C119857082 @default.
- W4308237197 hasConcept C124101348 @default.
- W4308237197 hasConcept C127413603 @default.
- W4308237197 hasConcept C153180895 @default.
- W4308237197 hasConcept C154945302 @default.
- W4308237197 hasConcept C163294075 @default.
- W4308237197 hasConcept C201995342 @default.
- W4308237197 hasConcept C2780009758 @default.
- W4308237197 hasConcept C2780451532 @default.
- W4308237197 hasConcept C31972630 @default.
- W4308237197 hasConcept C39890363 @default.
- W4308237197 hasConcept C41008148 @default.
- W4308237197 hasConcept C79337645 @default.
- W4308237197 hasConcept C99498987 @default.
- W4308237197 hasConceptScore W4308237197C115961682 @default.
- W4308237197 hasConceptScore W4308237197C119857082 @default.
- W4308237197 hasConceptScore W4308237197C124101348 @default.
- W4308237197 hasConceptScore W4308237197C127413603 @default.
- W4308237197 hasConceptScore W4308237197C153180895 @default.
- W4308237197 hasConceptScore W4308237197C154945302 @default.
- W4308237197 hasConceptScore W4308237197C163294075 @default.
- W4308237197 hasConceptScore W4308237197C201995342 @default.
- W4308237197 hasConceptScore W4308237197C2780009758 @default.
- W4308237197 hasConceptScore W4308237197C2780451532 @default.
- W4308237197 hasConceptScore W4308237197C31972630 @default.
- W4308237197 hasConceptScore W4308237197C39890363 @default.
- W4308237197 hasConceptScore W4308237197C41008148 @default.
- W4308237197 hasConceptScore W4308237197C79337645 @default.
- W4308237197 hasConceptScore W4308237197C99498987 @default.
- W4308237197 hasLocation W43082371971 @default.
- W4308237197 hasOpenAccess W4308237197 @default.
- W4308237197 hasPrimaryLocation W43082371971 @default.
- W4308237197 hasRelatedWork W1891287906 @default.
- W4308237197 hasRelatedWork W1969923398 @default.
- W4308237197 hasRelatedWork W2036807459 @default.
- W4308237197 hasRelatedWork W2166024367 @default.
- W4308237197 hasRelatedWork W2483420468 @default.
- W4308237197 hasRelatedWork W2772917594 @default.
- W4308237197 hasRelatedWork W2775347418 @default.
- W4308237197 hasRelatedWork W2961085424 @default.
- W4308237197 hasRelatedWork W4306674287 @default.
- W4308237197 hasRelatedWork W2092619848 @default.
- W4308237197 isParatext "false" @default.
- W4308237197 isRetracted "false" @default.
- W4308237197 workType "article" @default.