My research programme addresses fundamental problems in vision,
spanning four related areas: machine vision; image processing; visual
perception; and visual neuroscience. This includes the development of
reliable algorithms for machine vision systems, and theoretical work
on the neural basis of visual perception in biological systems.
Most of my work to date has focused on visual motion analysis
and binocular stereopsis. Understanding these visual processes
is central to the development of algorithms that would, for example,
facilitate the determination of 3d scene layout, the detection and
tracking of objects, the inference of the 3d motion of an observer
(camera), and motion-based recognition of objects and their activities.
Potential applications include novel human-computer interfaces,
computer graphics and special effects, assisted automotive navigation,
security and surveillance, and human motion capture.
| Computer Vision and Image Processing |
Phase-Based Methods (Optical Flow & Binocular Disparity)
Evaluation and Comparison of Optical Flow Techniques
Spatiotemporal (FIR & IIR) Filters for Optical Flow
Parameterized Models for Optical Flow
Modeling Appearance Changes in Image Sequences
Analysis of Motion (Occlusion) Boundaries
Visual Tracking and Inference of 3D People
2.5D Visual Tracking and Layered Image Analysis
Embedding Imperceptible Signals in Images
| Visual Perception/Neuroscience |
Second-Order Visual Processing
Neural Basis of Stereo Vision
fMRI and Human Stereopsis
Early Spatiotemporal Visual Processing