Associate Professor John A Perrone
Qualifications: MSc PhD Cant
About John
John Perrone's expertise is in the field of Vision Science.
Expertise
Visual perception; illusions; visual aspects of driving or flying; human visual navigation; robot vision systems; computer models of the visual system.
Research Interests
1) Modelling aspects of human self motion estimation. Ongoing research project which involves development and computer simulation of putative physiological motion processing in areas MT and MST of primate visual cortex.
2) Testing people's ability to estimate their heading direction and to extract depth information from image motion.
Please visit these links for more information about John's research:
Overview
Human Visual Navigation 2-D Motion Sensors Slant Perception Visual Aspects of Water Quality
Recent Publications
Perrone, J. A. (2018). Visual–vestibular estimation of the body's curvilinear motion through the world: A computational model. Journal of Vision, 18(4), 1-32. doi:10.1167/18.4.1
Perrone, J. (2018). Non-isotropic heading errors while moving along curved paths: Another reason to look where we are going?. In Journal of Vision Vol. 18. Association for Research in Vision and Ophthalmology. doi:10.1167/18.10.1064
Garnett, A., & Perrone, J. (2018). Curvilinear motion perception during visually simulated head turns in stereoscopic 3D virtual reality. In Journal of Vision Vol. 18. Association for Research in Vision and Ophthalmology. doi:10.1167/18.10.46
Kim, J. D., Perrone, J. A., & Isler, R. B. (2017). The effect of differences in day and night lighting distributions on drivers' speed perception. Perception, 46(6), 728-744. doi:10.1177/0301006616684236
Contact Details
| Name | Extn. | Username | Room | Department | ||||
|---|---|---|---|---|---|---|---|---|
| Perrone, AProf John | 9229 | jpnz | K.1.08 | School of Psychology |