Facial primitives such as eyebrows, eyes and mouth are used for the computer estimation of emotion. Describes how a pictorial knowledge‐base and pictorial knowledge‐tree are constructed from facial primitives in order to identify emotions in humans. Shows how the pictorial knowledge is compiled using a rule‐based knowledge representation. Discusses the future research implications and suggests areas where such computer estimation may be applied.
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