A framework for a dense matching algorithm : Results using matching metrics and order statistic filters

An algorithm for computing dense correspondences between images of a stereo pair or image sequence is presented. The algorithm can make use of both standard matching metrics and the rank and census filters, two filters based on order statistics which have been applied to the image matching problem. Their advantages include robustness to radiometric distortion and amenability to hardware implementation. Results obtained using both real stereo pairs and a synthetic stereo pair with ground truth were compared. The rank and census filters were shown to significantly improve performance in the case of radiometric distortion. In all cases, the results obtained were comparable to, if not better than, those obtained using standard matching metrics. Furthermore, the rank and census have the additional advantage that their computational overhead is less than these metrics. For all techniques tested, the difference between the results obtained for the synthetic stereo pair, and the ground truth results was small.

Boomtown

This creative work was commissioned by the Queensland Music Festival (artistic director: James Morrison) as the signature regional event for the 2013 festival. With book by David Burton and music by Scott Saunders, this original music theatre piece was creatively developed and directed by Sean Mee under the overall control of creative Producer, Marguerite Pepper. The production was created using the stories of Gladstone and performed by over 300 local artists, school children and industry partners on the foreshore of the Gladstone Marina on a purpose built stage, designed by Josh McIntosh. The production played over 4 nights (18-21 July 2013) to an estimated audience of just under 20,000.