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Professor John A Perrone

John Perrone

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

  • 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. A., Cree, M. J., Hedayati, M., & Corlett, D. (2018). Testing a biologically-based system for extracting depth from brief monocular 2-D video sequences. In 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ) (pp. 6 pages). Conference held in Auckland, New Zealand: IEEE. doi:10.1109/IVCNZ.2018.8634781 Open Access version: https://hdl.handle.net/10289/12324

  • 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

  • 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

Find more research publications by John Perrone

Keywords

Visual perception; illusions; visual aspects of driving or flying; human visual navigation; robot vision systems; computer models of the visual system.


Contact Details

Name  Extn.  Username  Room  Department
Perrone, Prof John 9229 jpnz K.1.08 School of Psychology

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