Very rough draft
The creation of such a model firstly relies on landmarking, much as in the case of shape models. Annotation of edges, corners and T-junctions in the image identifies unique attributes in some image that can be consistently located across a whole set of examples. Furthermore, what in fact classified such models as ones of full appearance is their ability to extract intensity (brightness) values from a shape normalised to fit a global mean (Procrustes analysis is used here to apply translation, rotation and scaling). Although originally the technique was implemented in greyscale images, Stegmann et. al. now provide an open source API that supports a corresponding RGB appearance for face datasets. Not surprisingly, it usually required 3 times the amount of space and time to process and any solution for grayscale data usually extends to colour by breaking up pixel elements into 3 components.
|This page was last modified on October 25th, 2003||Maintained by Roy Schestowitz|