Open AccessACCURACY OF 3D RECONSTRUCTION IN AN ILLUMINATION DOME
Author(s) -
Lindsay W. MacDonald,
I. Toschi,
Erica Nocerino,
Mona Hess,
Fabio Remondino,
Stuart Robson
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b5-69-2016
Subject(s) - point cloud , artificial intelligence , pointwise , digital elevation model , computer vision , 3d reconstruction , dome (geology) , surface reconstruction , laser scanning , structure from motion , surface (topology) , computer science , mathematics , computer graphics (images) , optics , geology , geometry , motion (physics) , remote sensing , physics , laser , mathematical analysis , paleontology
The accuracy of 3D surface reconstruction was compared from image sets of a Metric Test Object taken in an illumination dome by two methods: photometric stereo and improved structure-from-motion (SfM), using point cloud data from a 3D colour laser scanner as the reference. Metrics included pointwise height differences over the digital elevation model (DEM), and 3D Euclidean differences between corresponding points. The enhancement of spatial detail was investigated by blending high frequency detail from photometric normals, after a Poisson surface reconstruction, with low frequency detail from a DEM derived from SfM.