Dense 3D Point Cloud Generation from Multiple High-resolution Spherical Images

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dc.contributor.authorPagani, Alainen_US
dc.contributor.authorGava, Christianoen_US
dc.contributor.authorCui, Yanen_US
dc.contributor.authorKrolla, Bernden_US
dc.contributor.authorHengen, Jean-Marcen_US
dc.contributor.authorStricker, Didieren_US
dc.contributor.editorFranco Niccolucci and Matteo Dellepiane and Sebastian Pena Serna and Holly Rushmeier and Luc Van Goolen_US
dc.date.accessioned2013-10-31T10:32:06Z
dc.date.available2013-10-31T10:32:06Z
dc.date.issued2011en_US
dc.description.abstractThe generation of virtual models of cultural heritage assets is of high interest for documentation, restoration, development and promotion purposes. To this aim, non-invasive, easy and automatic techniques are required. We present a technology that automatically reconstructs large scale scenes from panoramic, high-resolution, spherical images. The advantage of the spherical panoramas is that they can acquire a complete environment in one single image. We show that the spherical geometry is more suited for the computation of the orientation of the panoramas (Structure from Motion) than the standard images, and introduce a generic error function for the epipolar geometry of spherical images. We then show how to produce a dense representation of the scene with up to 100 million points, that can serve as input for meshing and texturing software or for computer aided reconstruction. We demonstrate the applicability of our concept with reconstruction of complex scenes in the scope of cultural heritage documentation at the Chinese National Palace Museum of the Forbidden City in Beijing.en_US
dc.description.seriesinformationVAST: International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritageen_US
dc.identifier.isbn978-3-905674-34-7en_US
dc.identifier.issn1811-864Xen_US
dc.identifier.urihttps://doi.org/10.2312/VAST/VAST11/017-024en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): Vision and Scene Understanding [I.2.10]: 3D/stereo scene analysisen_US
dc.titleDense 3D Point Cloud Generation from Multiple High-resolution Spherical Imagesen_US
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VAST11: The 12th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage