H-CNN : Spatial Hashing Based CNN for 3D Shape Analysis
We present a novel spatial hashing based data structure to facilitate 3D shape analysis using convolutional neural networks (CNNs). Our method builds hierarchical hash tables for an input model under different resolutions that leverage the sparse occupancy of 3D shape boundary. Based on this data st...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on visualization and computer graphics. - 1998. - 26(2020), 7 vom: 19. Juli, Seite 2403-2416
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| 1. Verfasser: |
Shao, Tianjia
(VerfasserIn) |
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| Weitere Verfasser: |
Yang, Yin,
Weng, Yanlin,
Hou, Qiming,
Zhou, Kun |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2020
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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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