Feature-Preserving Tensor Voting Model for Mesh Steganalysis
The standard tensor voting technique shows its versatility in tasks such as object recognition and semantic segmentation by recognizing feature points and sharp edges that can segment a model into several patches. We propose a neighborhood-level representation-guided tensor voting model for 3D mesh...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1998. - 27(2021), 1 vom: 17. Jan., Seite 57-67
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| 1. Verfasser: |
Zhou, Hang
(VerfasserIn) |
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| Weitere Verfasser: |
Chen, Kejiang,
Zhang, Weiming,
Qin, Chuan,
Yu, Nenghai |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2021
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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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