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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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1996. - 29(2023), 2 vom: 04. Feb., Seite 1545-1558
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| 1. Verfasser: |
Liu, Tong
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Zhenhua,
Hu, Shaojun,
Zhang, Zhiyi,
Xiao, Chunxia,
Guo, Xiaohu,
Yang, Long |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on visualization and computer graphics
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| Schlagworte: | Journal Article |
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