Research
I am a postgraduate student
under the supervision of Dr Peter Kovesi
in the Vision and Visualisation Research
Group. My research lies in the field of Computer Vision, particularly the analysis
of motion fields for discerning scene information. Currently I am investigating how to
extract the divergence, curl, and deformation of optical flow fields in the face of noise.
These first-order differential quantities are useful for the recovery of
3D surface normals and determining time-to-contact in ego-motion calculations.
Some reading
Past work
During my Honours year, I worked with Professor George Milne on
reproducing the dynamics of disease spread
using a cellular automata (CA) model.
I have also worked on a project examining the use of
evolutionary algorithms for tertiary
protein structure prediction, pursuing the
hypothesis that protein folding can be modelled as an optimization
process. Assuming that a protein's final conformation is a compromise
between factors such as potential energy, orientation, and hydrophobia; a
multi-objective evolutionary algorithm can provide an estimate of that
conformation. As a prototyping exercise, I investigated the use of
a multi-objective evolution strategy for the problem of automated map labelling.
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Last modified: Thu Nov 17 09:27:25 W. Australia Standard Time 2005