nahavandi-imagematchingusing-2003.pdf (702.92 kB)
Image matching using TI multi-wavelet transform
conference contribution
posted on 2003-01-01, 00:00 authored by Asim BhattiAsim Bhatti, Saeid Nahavandi, H ZhengA 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.
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Title of proceedings
Digital image computing : techniques and applications ; proceedings of the VIIth Biennial Australian Pattern Recognition Society Conference, DICTA 2003Event
Australian Pattern Recognition Society. Conference (7th : 2003 : Sydney, N.S.W.)Pagination
937 - 946Publisher
CSIRO PublishingLocation
Sydney, AustraliaPlace of publication
Melbourne, Vic.Start date
2003-12-10End date
2003-12-12ISBN-13
9780643090408ISBN-10
0643090401Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2003, CSIRO PublishingEditor/Contributor(s)
C Sun, H Talbot, S Ourselin, T AdriaansenUsage metrics
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