Modelling the appearance of heritage metallic surfaces

Polished metallic surfaces exhibit a high degree of specularity, which makes them difficult to reproduce accurately. We have applied two different techniques for modelling a heritage object known as the Islamic handbag. Photogrammetric multi-view stereo enabled a dense point cloud to be extracted...

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Bibliographic Details
Main Authors: L. MacDonald, J. Hindmarch, S. Robson, M. Terras
Format: Article
Language:English
Published: Copernicus Publications 2014-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/371/2014/isprsarchives-XL-5-371-2014.pdf
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spelling doaj-2988573414354c4e9f9c21829d42a46e2020-11-24T20:51:30ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-06-01XL-537137710.5194/isprsarchives-XL-5-371-2014Modelling the appearance of heritage metallic surfacesL. MacDonald0J. Hindmarch1S. Robson2M. Terras3Dept. of Civil, Environmental & Geomatic Engineering, UCL, London, UKDept. of Civil, Environmental & Geomatic Engineering, UCL, London, UKDept. of Civil, Environmental & Geomatic Engineering, UCL, London, UKCentre for Digital Humanities, Dept. of Information Studies, UCL, London, UKPolished metallic surfaces exhibit a high degree of specularity, which makes them difficult to reproduce accurately. We have applied two different techniques for modelling a heritage object known as the Islamic handbag. Photogrammetric multi-view stereo enabled a dense point cloud to be extracted from a set of photographs with calibration targets, and a geometrically accurate 3D model produced. A new method based on photometric stereo from a set of images taken in an illumination dome enabled surface normals to be generated for each face of the object and its appearance to be rendered, to a high degree of visual realism, when illuminated by one or more light sources from any angles. The specularity of the reflection from the metal surface was modelled by a modified Lorentzian function.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/371/2014/isprsarchives-XL-5-371-2014.pdf
collection DOAJ
language English
format Article
sources DOAJ
author L. MacDonald
J. Hindmarch
S. Robson
M. Terras
spellingShingle L. MacDonald
J. Hindmarch
S. Robson
M. Terras
Modelling the appearance of heritage metallic surfaces
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet L. MacDonald
J. Hindmarch
S. Robson
M. Terras
author_sort L. MacDonald
title Modelling the appearance of heritage metallic surfaces
title_short Modelling the appearance of heritage metallic surfaces
title_full Modelling the appearance of heritage metallic surfaces
title_fullStr Modelling the appearance of heritage metallic surfaces
title_full_unstemmed Modelling the appearance of heritage metallic surfaces
title_sort modelling the appearance of heritage metallic surfaces
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2014-06-01
description Polished metallic surfaces exhibit a high degree of specularity, which makes them difficult to reproduce accurately. We have applied two different techniques for modelling a heritage object known as the Islamic handbag. Photogrammetric multi-view stereo enabled a dense point cloud to be extracted from a set of photographs with calibration targets, and a geometrically accurate 3D model produced. A new method based on photometric stereo from a set of images taken in an illumination dome enabled surface normals to be generated for each face of the object and its appearance to be rendered, to a high degree of visual realism, when illuminated by one or more light sources from any angles. The specularity of the reflection from the metal surface was modelled by a modified Lorentzian function.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/371/2014/isprsarchives-XL-5-371-2014.pdf
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