The system presented here is a specialized version of a general object recognition system. Images of faces are represented by graphs, labeled with topographical information and local features. New graphs of faces are generated by an elastic graph matching procedure comparing the new face with a set of stored model graphs: the face bunch graph. The result of this matching process can be used to generate composite images of faces and to determine facial attributes represented in the face bunch graph, such as sex or the presence of glasses or a beard. The performance of the system is comparable to that of other systems.
CITATION STYLE
Wiskott, L. (1997). Phantom faces for face analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1296, pp. 480–487). Springer Verlag. https://doi.org/10.1007/3-540-63460-6_153
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