One-shot 3D-shape and texture acquisition of facial data

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Abstract

In this paper we present new methods to simultaneously extract and exploit the three-dimensional shape of a face and its surface texture. It is based on an active technique, i.e. special illumination, but in contrast to traditional active sensing does not require scanning or sequential projection of multiple patterns. This one-shot nature of the devise allows to capture moving objects, e.g. for making a 3D reconstruction of a face even when the person is talking. The use of the system is illustrated using simple methods to extract both textural and geometrical features from faces, that can be used for authentication purposes. The advantage of using 3D data is that both types of features can be made more invariant under changes in head pose or illumination conditions.

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Proesmans, M., & Van Gool, L. (1997). One-shot 3D-shape and texture acquisition of facial data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1206, pp. 411–418). Springer Verlag. https://doi.org/10.1007/bfb0016022

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