Automatic classification of single facial images. See our FAQ for additional information.
Using these masks, the part of the image corresponding to each facial feature was separated.
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Recognition using class specific linear projection.
The objective of this work was not to obtain the taxonomies but to develop the automatic procedure to classify facial features based on their appearance.
As an example of the information of breast engorgement pregnancy features that was captured using eigenfaces, Fig 4 shows a reduced set of original mouths aand the same set of mouths reconstructed using 45 eigenvalues before de-normalization b.
September 22, ; Accepted:
On the other hand, the holistic approach uses appearance-based representations, considering all available information and encompassing the global nature of the faces.
Results of tests with three image sets are presented for the classification of sex, arace,o and expression.