Learning Implicit Fields for Point Cloud Filtering

Since point clouds acquired by scanners inevitably contain noise, recovering a clean version from a noisy point cloud is essential for further 3D geometry processing applications. Several data-driven approaches have been recently introduced to overcome the drawbacks of traditional filtering algorith...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - PP(2024) vom: 27. Aug.
1. Verfasser: Wang, Jinxi (VerfasserIn)
Weitere Verfasser: Lu, Xuequan, Wang, Meili, Hou, Fei, He, Ying
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2024
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Journal Article