Progressive Shape-Distribution-Encoder for Learning 3D Shape Representation
Since there are complex geometric variations with 3D shapes, extracting efficient 3D shape features is one of the most challenging tasks in shape matching and retrieval. In this paper, we propose a deep shape descriptor by learning shape distributions at different diffusion time via a progressive sh...
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Détails bibliographiques
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 3 vom: 07. März, Seite 1231-1242
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| Auteur principal: |
Xie, Jin
(Auteur) |
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| Autres auteurs: |
Zhu, Fan,
Dai, Guoxian,
Shao, Ling,
Fang, Yi |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2017
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Sujets: | Journal Article |
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