The research interests of the group include human vision perception and perceptual organization, computation models of perception and perceptify technology, statistical and structural image pattern analysis, perceptual pattern learning, generic image segmentation, perceptual feature classification and grouping, vision applications on surveillance (motion), content based image retrieval, medical imaging, and robot vision, etc.

Research Areas and Projects

• Vision Perceptify

  • Vision perceptify language: perceptual partition and grouping
  • Vision based computer-user interface

• Image Segmentation

  • Perceptify token-based generic region segmentation
  • Medical imaging: retina vessel map extraction

• Content-based Image Retrieval

  • Content-based image retrieval using perceptual shape features
  • Content-based image retrieval using extended autocorrelogram

• Surveillance and Motion Analysis

  • Motion object analysis: motion tracking and license recognition

• Robot Vision

  • Web-based robot control, Multi-sensor data fusion

  • Autonomous underwater hexapod robot

• Case-based reasoning and expert systems

• Visual attention and computational neuroscience