Quantification Method for the Uncertainty of Matching Point Distribution on 3D Reconstruction

Quantification Method for the Uncertainty of Matching Point Distribution on 3D Reconstruction

Matching points are the direct data sources of the fundamental matrix, camera parameters, and point cloud calculation. Thus, their uncertainty has a direct influence on the quality of image-based 3D reconstruction and is dependent on the number, accuracy, and distribution of the matching points. Thi...

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Bibliographic Details
Main Authors: Yuxia Bian, Xuejun Liu, Meizhen Wang, Hongji Liu, Shuhong Fang, Liang Yu
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
distribution of matching points
horizontal dilution of precision
quantification method
3d reconstruction
uncertainty
Online Access:https://www.mdpi.com/2220-9964/9/4/187

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