Enriching Point Clouds with Implicit Representations for 3D Classification and Segmentation

Enriching Point Clouds with Implicit Representations for 3D Classification and Segmentation

Continuous implicit representations can flexibly describe complex 3D geometry and offer excellent potential for 3D point cloud analysis. However, it remains challenging for existing point-based deep learning architectures to leverage the implicit representations due to the discrepancy in data struct...

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Bibliographic Details
Main Authors: Zexin Yang, Qin Ye, Jantien Stoter, Liangliang Nan
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Remote Sensing
Subjects:
point cloud
semantic segmentation
object classification
implicit representation
Online Access:https://www.mdpi.com/2072-4292/15/1/61

Internet

https://www.mdpi.com/2072-4292/15/1/61

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