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

Alain Pagani, Christiano Couto Gava, Yan Cui, Bernd Krolla, Jean-Marc Hengen, Didier Stricker

In: F. Niccolucci , M. Dellepiane (Hrsg.). 12th International Symposium on Virtual Reality, Archeology, and Cultural Heritage |. International Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST-2011) 12th October 19-21 Prato Italy Seiten 17-24 ISBN 978-3-905674-34-7 Eurographics Association Goslar, Germany 10/2011.


The 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.


Pagani2011_VAST.pdf (pdf, 27 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence