Incomplete Region Estimation and Restoration of 3D Point Cloud Human Face Datasets

Incomplete Region Estimation and Restoration of 3D Point Cloud Human Face Datasets

Owing to imperfect scans, occlusions, low reflectance of the scanned surface, and packet loss, there may be several incomplete regions in the 3D point cloud dataset. These missing regions can degrade the performance of recognition, classification, segmentation, or upsampling methods in point cloud d...

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Bibliographic Details
Main Authors: Kutub Uddin, Tae Hyun Jeong, Byung Tae Oh
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
3D point cloud
incomplete region
deep learning
estimation
and restoration
Online Access:https://www.mdpi.com/1424-8220/22/3/723

Internet

https://www.mdpi.com/1424-8220/22/3/723

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