Abstract
In this paper we describe a model-based method for recovering the 3D shape of faces using shape-from-shading. Using range-data, we learn a statistical model of the variation in surface normal direction for faces. This model uses the azimuthal equidistant projection to represent the distribution of surface normal directions. We fit the model to intensity data using constraints on the surface normal direction provided by Lambert’s law. We illustrate the effectiveness of the method on real-world image data.
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Smith, W.A.P., Hancock, E.R. (2005). A Model-Based Method for Face Shape Recovery. In: Marques, J.S., Pérez de la Blanca, N., Pina, P. (eds) Pattern Recognition and Image Analysis. IbPRIA 2005. Lecture Notes in Computer Science, vol 3522. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11492429_33
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DOI: https://doi.org/10.1007/11492429_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26153-7
Online ISBN: 978-3-540-32237-5
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