Matches in SemOpenAlex for { <https://semopenalex.org/work/W3122628962> ?p ?o ?g. }
- W3122628962 endingPage "21166" @default.
- W3122628962 startingPage "21149" @default.
- W3122628962 abstract "A point cloud is an effective 3D geometrical presentation of data paired with different attributes such as transparency, normal and color of each point. The imperfect acquisition process of a 3D point cloud usually generates a significant amount of noise. Hence, point cloud denoising has received a lot of attention. Most of the existing techniques perform point cloud denoising based only on the geometry information of the neighbouring points; there are very few works considering the problem of denoising of color attributes of a point cloud, and taking advantage of the correlation between geometry and color. In this article, we introduce a novel non-iterative set-up for the denoising of point cloud based on spectral graph wavelet transform (SGW) that jointly exploits geometry and color to perform denoising of geometry and color attributes in graph spectral domain. The designed framework is based on the construction of joint geometry and color graph that compacts the energy of smooth graph signals in the low-frequency bands. The noise is then removed from the spectral graph wavelet coefficients by applying data-driven adaptive soft-thresholding. Extensive simulation results show that the proposed denoising technique significantly outperforms state-of-the-art methods using both subjective and objective quality metrics." @default.
- W3122628962 created "2021-02-01" @default.
- W3122628962 creator A5034486931 @default.
- W3122628962 creator A5081507230 @default.
- W3122628962 date "2021-01-01" @default.
- W3122628962 modified "2023-10-16" @default.
- W3122628962 title "Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets" @default.
- W3122628962 cites W1984917817 @default.
- W3122628962 cites W1987113397 @default.
- W3122628962 cites W1988317275 @default.
- W3122628962 cites W2004239997 @default.
- W3122628962 cites W2004402003 @default.
- W3122628962 cites W2006213557 @default.
- W3122628962 cites W2006502673 @default.
- W3122628962 cites W2010473040 @default.
- W3122628962 cites W2070433376 @default.
- W3122628962 cites W2072723786 @default.
- W3122628962 cites W2101491865 @default.
- W3122628962 cites W2116274772 @default.
- W3122628962 cites W2125500167 @default.
- W3122628962 cites W2125527601 @default.
- W3122628962 cites W2137531922 @default.
- W3122628962 cites W2152864241 @default.
- W3122628962 cites W2158361880 @default.
- W3122628962 cites W2158787690 @default.
- W3122628962 cites W2165987118 @default.
- W3122628962 cites W2169371923 @default.
- W3122628962 cites W2169611956 @default.
- W3122628962 cites W2175335531 @default.
- W3122628962 cites W2331830552 @default.
- W3122628962 cites W2404981275 @default.
- W3122628962 cites W2506891471 @default.
- W3122628962 cites W2546714150 @default.
- W3122628962 cites W2550669594 @default.
- W3122628962 cites W2583683993 @default.
- W3122628962 cites W2587777731 @default.
- W3122628962 cites W2613097622 @default.
- W3122628962 cites W2617121149 @default.
- W3122628962 cites W2751849977 @default.
- W3122628962 cites W2765138770 @default.
- W3122628962 cites W2787490498 @default.
- W3122628962 cites W2805202215 @default.
- W3122628962 cites W2883144563 @default.
- W3122628962 cites W2884154111 @default.
- W3122628962 cites W2890797698 @default.
- W3122628962 cites W2896671893 @default.
- W3122628962 cites W2963756602 @default.
- W3122628962 cites W2988447441 @default.
- W3122628962 cites W2998456637 @default.
- W3122628962 cites W3102132650 @default.
- W3122628962 cites W3102733014 @default.
- W3122628962 cites W3121751298 @default.
- W3122628962 cites W3137369665 @default.
- W3122628962 cites W3137466219 @default.
- W3122628962 cites W4214806317 @default.
- W3122628962 cites W4229811791 @default.
- W3122628962 cites W4255521522 @default.
- W3122628962 cites W1585231154 @default.
- W3122628962 doi "https://doi.org/10.1109/access.2021.3054171" @default.
- W3122628962 hasPublicationYear "2021" @default.
- W3122628962 type Work @default.
- W3122628962 sameAs 3122628962 @default.
- W3122628962 citedByCount "8" @default.
- W3122628962 countsByYear W31226289622022 @default.
- W3122628962 countsByYear W31226289622023 @default.
- W3122628962 crossrefType "journal-article" @default.
- W3122628962 hasAuthorship W3122628962A5034486931 @default.
- W3122628962 hasAuthorship W3122628962A5081507230 @default.
- W3122628962 hasBestOaLocation W31226289621 @default.
- W3122628962 hasConcept C127413603 @default.
- W3122628962 hasConcept C131979681 @default.
- W3122628962 hasConcept C132525143 @default.
- W3122628962 hasConcept C154945302 @default.
- W3122628962 hasConcept C163294075 @default.
- W3122628962 hasConcept C170154142 @default.
- W3122628962 hasConcept C18555067 @default.
- W3122628962 hasConcept C31972630 @default.
- W3122628962 hasConcept C41008148 @default.
- W3122628962 hasConcept C47432892 @default.
- W3122628962 hasConcept C80444323 @default.
- W3122628962 hasConceptScore W3122628962C127413603 @default.
- W3122628962 hasConceptScore W3122628962C131979681 @default.
- W3122628962 hasConceptScore W3122628962C132525143 @default.
- W3122628962 hasConceptScore W3122628962C154945302 @default.
- W3122628962 hasConceptScore W3122628962C163294075 @default.
- W3122628962 hasConceptScore W3122628962C170154142 @default.
- W3122628962 hasConceptScore W3122628962C18555067 @default.
- W3122628962 hasConceptScore W3122628962C31972630 @default.
- W3122628962 hasConceptScore W3122628962C41008148 @default.
- W3122628962 hasConceptScore W3122628962C47432892 @default.
- W3122628962 hasConceptScore W3122628962C80444323 @default.
- W3122628962 hasLocation W31226289621 @default.
- W3122628962 hasOpenAccess W3122628962 @default.
- W3122628962 hasPrimaryLocation W31226289621 @default.
- W3122628962 hasRelatedWork W1982584880 @default.
- W3122628962 hasRelatedWork W2111347602 @default.
- W3122628962 hasRelatedWork W2144724818 @default.
- W3122628962 hasRelatedWork W2979718872 @default.