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.

Accuracy of £D reconstruction in an illumination dome / Macdonald, Lindsay; Toschi, Isabella; Nocerino, Erica; Hess, Mona; Remondino, Fabio; Robson, Stuart. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 2194-9034. - XLI-B5:(2016), pp. 69-76. (Intervento presentato al convegno XXIII ISPRS Congress tenutosi a Prague, Czech Republic nel 12–19 July 2016) [10.5194/isprsarchives-XLI-B5-69-2016].

Accuracy of £D reconstruction in an illumination dome

Nocerino, Erica;
2016-01-01

Abstract

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.
2016
Accuracy of £D reconstruction in an illumination dome / Macdonald, Lindsay; Toschi, Isabella; Nocerino, Erica; Hess, Mona; Remondino, Fabio; Robson, Stuart. - In: INTERNATIONAL ARCHIVES OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES. - ISSN 2194-9034. - XLI-B5:(2016), pp. 69-76. (Intervento presentato al convegno XXIII ISPRS Congress tenutosi a Prague, Czech Republic nel 12–19 July 2016) [10.5194/isprsarchives-XLI-B5-69-2016].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11388/307073
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