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BBC R&D White Paper WHP102

3D sequence generation from multiple cameras
O. Grau

Keywords
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Abstract
An approach for the generation of 3D surface model sequences from a set of synchronised, calibrated cameras is presented. The method is based on the computation of the visual-hull.

An analysis classifies typical error sources for artefacts in the reconstructed 3D models into occlusion, approximation and sampling errors. For the synthesis of new images for TV- and film-applications the roughness of the reconstructed 3D models has shown to be very disturbing. In order to reduce this roughness two methods are used sequentially: A new super-sampling approach that reduces the sampling error, and a Gaussian surface smoothing. The application of the modelling results from a 12 camera studio system is shown for the generation of virtual views of moving actors in standard post-production packages.

This document was originally published in Proc. of IEEE, International workshop on multimedia signal processing 2004, (Siena, Italy), September 2004.