Bhatti, Asim, Nahavandi, Saeid and Zheng, Hong 2003, Image matching using TI multi-wavelet transform, in Digital image computing : techniques and applications ; proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference, DICTA 2003, CSIRO Publishing, Melbourne, Vic., pp. 937-946.
Attached Files
(Some files may be inaccessible until you login with your Deakin Research Online credentials)
Digital image computing : techniques and applications ; proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference, DICTA 2003
Editor(s)
Sun, Changming Talbot, Hugues Ourselin, Sabastien Adriaansen, Tony
Publication date
2003
Conference series
Australian Pattern Recognition Society Conference
Start page
937
End page
946
Publisher
CSIRO Publishing
Place of publication
Melbourne, Vic.
Summary
A multi-resolution image matching technique based on multiwavelets followed by a coarse to fine strategy is presented. The technique addresses the estimation of optimal corresponding points and the corresponding disparity maps in the presence of occlusion, ambiguity and illuminative variations in the two perspective views taken by two different cameras or at different lighting conditions. The problem of occlusion and ambiguity is addressed by a geometric topological refining approach along with the uniqueness constraint whereas the illuminative variation is dealt by using windowed normalized correlation.