Parallel and Scalable Heat Methods for Geodesic Distance Computation
In this paper, we propose a parallel and scalable approach for geodesic distance computation on triangle meshes. Our key observation is that the recovery of geodesic distance with the heat method [1] can be reformulated as optimization of its gradients subject to integrability, which can be solved u...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 43(2021), 2 vom: 26. Feb., Seite 579-594
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| 1. Verfasser: |
Tao, Jiong
(VerfasserIn) |
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| Weitere Verfasser: |
Zhang, Juyong,
Deng, Bailin,
Fang, Zheng,
Peng, Yue,
He, Ying |
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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 pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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