Abstract
An approach towards simplified models of human faces, given 2D images, is proposed in this paper. The tool involves the utilization of the 2D views -upon which certain protuberant points are automatically detected- and the adaptation of a generic 3D head model (polygon mesh) according to the information gained by the available views. This mesh provides shape information which -combined with texture information- efficiently describes specific 3D human faces.
Issues related to luminance differences and rotation variations between the available views, are successfully dealt with within the texture map creation process. A set of localized transformations is also applied, in order to preserve the continuity of the human head surface. Besides this, the problem of using a minimum organic model representation is addressed. The aspect under which this issue is verged upon, is that of the solution of a trade-off problem between low computational complexity and high approximation quality.
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© 1998 Springer-Verlag London Limited
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Votsis, G., Tsapatsoulis, N., Karpouzis, K., Kollias, S. (1998). A Simplified Representation of 3D Human Faces adapted from 2D Images. In: Marshall, S., Harvey, N.R., Shah, D. (eds) Noblesse Workshop on Non-Linear Model Based Image Analysis. Springer, London. https://doi.org/10.1007/978-1-4471-1597-7_7
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DOI: https://doi.org/10.1007/978-1-4471-1597-7_7
Publisher Name: Springer, London
Print ISBN: 978-3-540-76258-4
Online ISBN: 978-1-4471-1597-7
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