Associate Professor John A Perrone
Qualifications: MSc PhD Cant
John Perrone's expertise is in the field of Vision Science.
Visual perception; illusions; visual aspects of driving or flying; human visual navigation; robot vision systems; computer models of the visual system.
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.
Clark, H. E., Perrone, J. A., Isler, R. B., & Charlton, S. G. (2017). Fixating on the size-speed illusion of approaching railway trains: What we can learn from our eye movements. Accident Analysis and Prevention, 99, 110-113. doi:10.1016/j.aap.2016.11.013
Cree, M. J., Perrone, J., Anthonys, G., Garnett, A., & Gouk, H. (2016). Estimating heading direction from monocular video sequences using biologically-based sensor. In Image and Vision Computing New Zealand. Palmerston North, New Zealand. Open Access version: hdl:10289/10884
Kim, J. D., Perrone, J. A., & Isler, R. B. (2016). The effect of differences in day and night lighting distributions on drivers' speed perception. Perception, -online, 1-17. doi:10.1177/0301006616684236
Clark, H., Perrone, J., Isler, R., & Charlton, S. G. (2016). Illuminating ways to combat the size-speed illusion of moving trains. In International Conference on Traffic and Transport Psychology (ICTTP). Conference held at Brisbane, Australia.
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|Perrone, AProf John||9229||jpnz||K.1.08||Psychology, School of|