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Correlation Analysis of Camera Self‐Calibration in Close Range Photogrammetry
Author(s) -
Tang Rongfu,
Fritsch Dieter
Publication year - 2013
Publication title -
the photogrammetric record
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.638
H-Index - 51
eISSN - 1477-9730
pISSN - 0031-868X
DOI - 10.1111/phor.12009
Subject(s) - photogrammetry , distortion (music) , calibration , range (aeronautics) , pixel , camera resectioning , computer vision , point (geometry) , artificial intelligence , plane (geometry) , remote sensing , computer science , mathematics , geography , geometry , statistics , engineering , computer network , amplifier , bandwidth (computing) , aerospace engineering
Abstract While the Brown self‐calibration model has been widely used in close range photogrammetry for over 40 years, the negative effects of the well‐known high correlations between parameters are not clear. This paper presents a novel view and study of these correlations, which are shown to be inherent in the Brown model due to its polynomial nature; they occur exactly as with additional parameters in aerial photogrammetry. Although it has high correlations with the decentring distortion parameters, the principal point can be located precisely (up to a few pixels) in self‐calibration with an appropriate image configuration. An alternative model of the in‐plane distortion is proposed, which helps to reduce the correlation with principal distance.