Neighbor Reweighted Local Centroid for Geometric Feature Identification
Identifying geometric features from sampled surfaces is a significant and fundamental task. The existing curvature-based methods that can identify ridge and valley features are generally sensitive to noise. Without requiring high-order differential operators, most statistics-based methods sacrifice...
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Détails bibliographiques
Publié dans: | IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 2 vom: 04. Feb., Seite 1545-1558
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Auteur principal: |
Liu, Tong
(Auteur) |
Autres auteurs: |
Yang, Zhenhua,
Hu, Shaojun,
Zhang, Zhiyi,
Xiao, Chunxia,
Guo, Xiaohu,
Yang, Long |
Format: | Article en ligne
|
Langue: | English |
Publié: |
2023
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Accès à la collection: | IEEE transactions on visualization and computer graphics
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Sujets: | Journal Article |