Insights from human perception of moving faces have the potential to provide interesting insights for technical animation systems as well as in the neural encoding of facial expressions in the brain. We present a psychophysical experiment that explores high-level aftereffects for dynamic facial expressions. We address specifically in how far such after-effects represent adaptation in neural representation for static vs. dynamic features of faces. High-level after-effects have been reported for the recognition of static faces [Webster and Maclin 1999; Leopold et al. 2001], and also for the perception of point-light walkers [Jordan et al. 2006; Troje et al. 2006]. Aftereffects were reflected by shifts in category boundaries between different facial expressions and between male and female walks. We report on a new after-effect in humans observing dynamic facial expressions that have been generated by a highly controllable dynamic morphable face model. As key element of our experiment, we...
Cristóbal Curio, Martin A. Giese, Martin Br