Flattening-Net : Deep Regular 2D Representation for 3D Point Cloud Analysis
Point clouds are characterized by irregularity and unstructuredness, which pose challenges in efficient data exploitation and discriminative feature extraction. In this paper, we present an unsupervised deep neural architecture called Flattening-Net to represent irregular 3D point clouds of arbitrar...
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Détails bibliographiques
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 8 vom: 13. Aug., Seite 9726-9742
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| Auteur principal: |
Zhang, Qijian
(Auteur) |
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| Autres auteurs: |
Hou, Junhui,
Qian, Yue,
Zeng, Yiming,
Zhang, Juyong,
He, Ying |
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| Format: | Article en ligne
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| Langue: | English |
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| Publié: |
2023
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence
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| Sujets: | Journal Article |
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