Abstract
Human faces differ in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two- dimensional shape and texture. The separation was done using the point correspondence between the different images, which was established through algorithms known from optical flow computation. A linear description of the separated texture and shape spaces allows a smooth modeling of human faces. Pictures of faces along the principal axes of a small data set of 50 faces are shown. We also show face reconstructions based on this small example set.
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© 1995 Springer-Verlag Berlin Heidelberg
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Vetter, T., Troje, N. (1995). Separation of texture and two-dimensional shape in images of human faces. In: Sagerer, G., Posch, S., Kummert, F. (eds) Mustererkennung 1995. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79980-8_14
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DOI: https://doi.org/10.1007/978-3-642-79980-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60293-4
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