Faculty Research: Computational Vision

Current research projects in computational vision include investigations into binocular vision, motion and space perception, computer aided corneal topographic modeling and visualization, computational neuroscience, spatial vision modeling, computational modeling of early vision, texture, stereopsis, 3D vision, object recognition, scanpath theory, telerobotics, virtual reality, and ocular aberrations, myopia.

Martin S. Banks, PhD
Binocular vision, motion perception, space perception, infant vision

Brian A. Barsky, PhD
Computer graphics; computer aided geometric design and modeling; visualization in scientific computing; computer-aided cornea modeling and visualization; OPTICAL: medical imaging; virtual environments for surgical simulation

Yang Dan, PhD
Visual neurophysiology, computational neuroscience

Ralph Freeman, OD, PhD
Neurophysiological investigations of circuitry in central visual pathways.

Jack L. Gallant, PhD
Natural scene perception, form vision, attention.

Donald A. Glaser, PhD
Human visual perception, interactions among retina, lateral geniculate, and cortical areas of the brain

Stanley A. Klein, PhD
Spatial vision modeling, psychophysical methods and vision test design, corneal topography and contact lens design, source localization of evoked potentials, fMRI, amblyopia.

Jitendra Malik, PhD
Computational modeling of early vision, texture, stereopsis, 3D vision, object recognition

Bruno A. Olshausen, PhD
Probabalistic models of image representation in visual cortex

Frank S. Werblin, PhD
Electrophysiology of local circuit interactions in the neural retina