DocumentCode :
49521
Title :
Image stitching using chaos-inspired dissimilarity measure
Author :
Taeyup Song ; Changwon Jeon ; Hanseok Ko
Author_Institution :
Korea Univ., Seoul, South Korea
Volume :
51
Issue :
3
fYear :
2015
fDate :
2 5 2015
Firstpage :
232
Lastpage :
234
Abstract :
A novel image-stitching algorithm is proposed that uses the chaos-inspired dissimilarity measure. Previous approaches to image stitching generally employed invariant local features and random sample consensus (RANSAC), to verify image matches. In panoramic stitching, however, RANSAC is highly sensitive to illumination difference between the pair of images stemming from two different exposures, which essentially results in mismatched pairs, leading to poor stitching performance. By applying chaos theory, the contextual change of an image becomes chaos-like, and results in a complex fractal trajectory in phase space. The specific chaos behaviour between a pair of images is exploited, whereby the resulting phase space exhibits strong invariance to illumination changes. Accordingly, the chaos-inspired dissimilarity between images is measured, thereby the matched pairs are robustly found under the presence of illumination difference. Representative performance experiments demonstrate significant improvements over the conventional method.
Keywords :
chaos; image matching; RANSAC; chaos-inspired dissimilarity measure; complex fractal trajectory; illumination changes; image matching; image-stitching algorithm; invariant local features; panoramic stitching; phase space; random sample consensus;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2014.0981
Filename :
7029806
Link To Document :
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