James Elder Disks from psychophysics experiments

Our laboratory conducts research in human and computer vision.  This research involves psychophysical experiments on human subjects, mathematical analysis of problem constraints, and development of computational models and algorithms. Students in the laboratory are typically registered in Computer Science, Psychology or Mathematics Departments.

Our goals are to develop better theories of visual processing, as well as practical knowledge and algorithms that may be applied to problems in visual surveillance, remote learning and geomatics applications. We collaborate with a number of companies and government organizations on this applied research.

Some current research projects

Pre-Attentive and Attentive Vision:

  • Preattentive visual processing of natural scenes
  • Statistical methods for face detection and recognition
  • Wide-field attentive sensors for visual security and remote learning applications
  • Sensing networks for change detection and disaster management

Contour Processing:

  • Edge detection
  • Edge classification (discriminating occlusion, reflectance, shadow and highlight edges)
  • Classification image analysis
  • Perceptual organization
  • Statistical analysis of contour grouping cues in natural images
  • Bayesian models and algorithms for the perceptual grouping of contours
  • Contour-based image compression

The laboratory is funded by grants from:

  • The Natural Sciences and Engineering Research Council (NSERC)
  • The Premier's Research Excellence Award (PREA)
  • The Centre for Earth and Environmental Technologies (ETech)
  • Geomatics for Informed Decisions (GEOIDE)