A Receptive Field Neural Network which Learns to Describe Facial Expressions
نویسندگان
چکیده
This paper examines the problem of categorisa-tion for denotata (here a range of facial images known to be associated with terms for human emotion) through the use of a receptive eld based artiicial neural network model. The network is trained upon images derived from the Ekman and Friesen \Pictures of Facial AAect" database, and is subsequently able to successfully generalise to images of unseen subjects. By using digital morphing techniques to produce intermediate frames between the existing stills, we predict that the space of transitions between denotata is potentially complex, and that such denotata may have only a limited role in the acquisition of more complex emotional terms.
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