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null Frederick Kingdom, PhD

Senior Scientist, RI-MUHC, Montreal General Hospital site

Brain Repair and Integrative Neuroscience (BRaIN) Program

Centre for Translational Biology

Professor, Department of Ophthalmology and Visual Sciences, Faculty of Medicine and Health Sciences, McGill University

 

Keywords


visual perception • colour vision • transparency • visual illusions • image processing • psychophysics

Research Focus


My research focuses on the relationship between the initial stages of vision that detect local features such as edges, bars and surface markings, and intermediate stages that link up those features to form contours, textures and surfaces. A full understanding of this process involves research in a number of domains, including spatial vision, colour vision, stereopsis, binocular vision, texture perception, brightness and lightness perception, and transparency. Together with psychophysical, i.e., behavioural methods, my research involves image processing applied to images of natural scenes and mathematical modeling of the underlying mechanisms of vision.

Selected Publications


Click on Pubmed to see my current publications list

  • Kingdom FAA, Yared KC, Hibbard PB, May KA. (2020). Stereoscopic depth adaptation from binocularly correlated versus anti-correlated noise: test of an efficient coding theory of stereopsis. Vision Research. PMID: 31855669.

  • Breuil C, Jennings BJ, Barthelmé S, Guyader N, Kingdom FAA. (2019). Color improves edge classification in human vision, PLoS Computational Biology, 15:10e1007398. PMID: 31626643.

  • Prins N, Kingdom FAA. (2018). Applying the Model-Comparison Approach to Test Specific Research Hypotheses in Psychophysical Research Using the Palamedes Toolbox. Frontiers Psychology, 9:1250. PMID: 30083122.

  • Sato H, Kingdom FAA, Motoyoshi I. (2019). Co-circularity opponency in visual texture. Scientific Reports, 9(1):1403. PMID: 30718664.

  • Kingdom FAA, Jennings BJ, Georgeson MA. (2018). Adaptation to interocular difference. Journal of Vision, 18(5):9. PMID: 29904784.