Qualifications: MSc PhD Cant

About John

John Perrone's expertise is in the field of Vision Science.

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

• Hedayati, H., McGuinness, B. J., Cree, M. J., & Perrone, J. A. (2019). Generalization Approach for CNN-based Object Detection in Unconstrained Outdoor Environments. In International Conference Image and Vision Computing New Zealand Vol. 2019-December. doi:10.1109/IVCNZ48456.2019.8960992

• Perrone, J., Cree, M., & Hedayati, M. (2019). Using the properties of Primate Motion Sensitive Neurons to extract camera motion and depth from brief 2-D Monocular Image Sequences. In International Conference on Computer Analysis of Images and Patterns Vol. 11678 (pp. 600-612). Conference held at Salerno, Italy. doi:10.1007/978-3-030-29888-3_49

• 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

View all research publications by John Perrone