Neurofuzzy recognition and generation of facial features in talking heads

Neurofuzzy recognition and generation of facial features in talking heads

We show that fuzzy neural nets can rate the emotional feedback message implicit in human facial expressions at a level comparable to human performance. We also identify primitive and derived features in facial expressions and animations. We also report on a partial solution to the difficult inverse...

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Bibliographische Detailangaben
Hauptverfasser: Garzon, M.H., Ankaraju, P., Drumwright, E., Kozma, R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Face recognition
Facial animation
Facial features
Fuzzy neural networks
Humans
Inverse problems
Mouth
Neural networks
Neurofeedback
Ontologies
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Beschreibung
Zusammenfassung:We show that fuzzy neural nets can rate the emotional feedback message implicit in human facial expressions at a level comparable to human performance. We also identify primitive and derived features in facial expressions and animations. We also report on a partial solution to the difficult inverse problem of generating naturalistic facial expressions from summary abstract descriptions of the emotional feedback to be conveyed.
DOI:10.1109/FUZZ.2002.1006628