Neurofuzzy recognition and generation of facial features in talking heads
We shown 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.
IEEE International Conference on Fuzzy Systems
Garzon, M., Ankaraju, P., Drumwright, E., & Kozma, R. (2002). Neurofuzzy recognition and generation of facial features in talking heads. IEEE International Conference on Fuzzy Systems, 2, 926-931. Retrieved from https://digitalcommons.memphis.edu/facpubs/3013