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Primarily motivated by some characteristics of the human visual cortex (HVC), we propose a new facial expression recognition scheme, involving a statistical synthesis of hierarchical classifiers. In this scheme, the input images of the database are first subjected to local, multi-scale Gabor-filter operations, and then the resulting Gabor decompositions are(More)
Three variants of HMAX model are proposed in this paper for recognizing facial expressions of novel faces. The expressions under consideration are: happy, sad, angry, surprised, disgusted, scared and neutral. The modifications are based on recent biological findings about face processing procedure in human brain. Computational results on two different(More)
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