Shape-invariant encoding of dynamic primate facial expressions in human perception
| Autor: | Nick Taubert, Michael Stettler, Ramona Siebert, Silvia Spadacenta, Louisa Sting, Peter Dicke, Peter Thier, Martin A Giese |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
Adult
Male QH301-705.5 Science dynamic faces Emotions ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION social communication Machine Learning Young Adult Animals Humans Biology (General) ComputingMethodologies_COMPUTERGRAPHICS cross-species recognition avatar Bayes Theorem Recognition Psychology Middle Aged Macaca mulatta emotion expression Facial Expression stomatognathic diseases Pattern Recognition Visual Face Visual Perception Medicine Female Nerve Net Research Article Neuroscience Human |
| Zdroj: | eLife eLife, Vol 10 (2021) |
| ISSN: | 2050-084X |
| DOI: | 10.7554/elife.61197 |
| Popis: | Dynamic facial expressions are crucial for communication in primates. Due to the difficulty to control shape and dynamics of facial expressions across species, it is unknown how species-specific facial expressions are perceptually encoded and interact with the representation of facial shape. While popular neural network models predict a joint encoding of facial shape and dynamics, the neuromuscular control of faces evolved more slowly than facial shape, suggesting a separate encoding. To investigate these alternative hypotheses, we developed photo-realistic human and monkey heads that were animated with motion capture data from monkeys and humans. Exact control of expression dynamics was accomplished by a Bayesian machine-learning technique. Consistent with our hypothesis, we found that human observers learned cross-species expressions very quickly, where face dynamics was represented largely independently of facial shape. This result supports the co-evolution of the visual processing and motor control of facial expressions, while it challenges appearance-based neural network theories of dynamic expression recognition. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|