DocumentCode :
2178316
Title :
An Enhancement to SIFT-Based Techniques for Image Registration
Author :
Hossain, Md Tanvir ; Teng, Shyh Wei ; Lu, Guojun ; Lackmann, Martin
Author_Institution :
Gippsland Sch. of Inf. Technol., Monash Univ., Churchill, VIC, Australia
fYear :
2010
fDate :
1-3 Dec. 2010
Firstpage :
166
Lastpage :
171
Abstract :
Symmetric-SIFT is a recently proposed local technique used for registering multimodal images. It is based on a well-known general image registration technique named Scale Invariant Feature Transform (SIFT). Symmetric SIFT makes use of the gradient magnitude information at the image´s key regions to build the descriptors. In this paper, we highlight an issue with how the magnitude information is used in this process. This issue may result in similar descriptors being built to represent regions in images that are visually different. To address this issue, we have proposed two new strategies for weighting the descriptors. Our experimental results show that Symmetric-SIFT descriptors built using our proposed strategies can lead to better registration accuracy than descriptors built using the original Symmetric-SIFT technique. The issue highlighted and the two strategies proposed are also applicable to the general SIFT technique.
Keywords :
image registration; transforms; histogram weighting; multimodal image registration; symmetric-scale invariant feature transform; Accuracy; Buildings; Histograms; Image registration; Pixel; Variable speed drives; Visualization; SIFT; histogram weighting; multimodal image registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Image Computing: Techniques and Applications (DICTA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-8816-2
Electronic_ISBN :
978-0-7695-4271-3
Type :
conf
DOI :
10.1109/DICTA.2010.39
Filename :
5692559
Link To Document :
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