Whole-body modelling of people from multiview images to populate virtual worlds |
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Authors: | Adrian Hilton Daniel Beresford Thomas Gentils Raymond Smith Wei Sun John Illingworth |
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Affiliation: | (1) Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford GU25XH, United Kingdom e-mail: a.hilton@surrey.ac.uk, http://www.ee.surrey.ac.uk/Research/VSSP/3DVision/VirtualPeople, UK |
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Abstract: | In this paper a new technique is introduced for automatically building recognisable, moving 3D models of individual people.
A set of multiview colour images of a person is captured from the front, sides and back by one or more cameras. Model-based
reconstruction of shape from silhouettes is used to transform a standard 3D generic humanoid model to approximate a person's
shape and anatomical structure. Realistic appearance is achieved by colour texture mapping from the multiview images. The
results show the reconstruction of a realistic 3D facsimile of the person suitable for animation in a virtual world. The system
is inexpensive and is reliable for large variations in shape, size and clothing. This is the first approach to achieve realistic
model capture for clothed people and automatic reconstruction of animated models. A commercial system based on this approach
has recently been used to capture thousands of models of the general public. |
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Keywords: | : Avatar – Virtual human – Whole-body modelling – 3D vision – VRML |
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