A Novel Error Criterion of Fundamental Matrix Based on Principal Component Analysis

A Novel Error Criterion of Fundamental Matrix Based on Principal Component Analysis

Estimating the fundamental matrix (FM) using the known corresponding points is a key step for three-dimensional (3D) scene reconstruction, and its uncertainty directly affects camera calibration and point-cloud calculation. The symmetric epipolar distance is the most popular error criterion for esti...

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Bibliographic Details
Main Authors: Yuxia Bian, Shuhong Fang, Ye Zhou, Xiaojuan Wu, Yan Zhen, Yongbin Chu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
fundamental matrix
error
covariance
matrix differential theory
principal component analysis
Manhattan norm
Online Access:https://www.mdpi.com/2072-4292/14/21/5341

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