Point cloud super‐resolution based on geometric constraints

Point cloud super‐resolution based on geometric constraints

Abstract Among all digital representations we have for real physical objects, three‐dimensional (3D) is arguably the most expressive encoding. But due to the limitations of 3D scanning equipment, point cloud often becomes sparse or partially missing. A point cloud super‐resolution (PCSR) method base...

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Bibliographic Details
Main Authors: Xiaoqiang Li, Jitao Liu, Songmin Dai
Format: Article
Language:English
Published: Wiley 2021-06-01
Series:IET Computer Vision
Subjects:
image reconstruction
image representation
image resolution
solid modelling
Online Access:https://doi.org/10.1049/cvi2.12045

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