Panorama Stitching Based on SIFT Algorithm and Levenberg-Marquardt Optimization

Panorama stitching algorithm based on scale invariant feature transform and Levenberg-Marquardt optimiza-tion is proposed. Mapping the source planar images to a cylind-rical surface is the first step. Then, correct matching feature pairs are detected between two images by SIFT and RANSAC algorithm....

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Bibliographic Details
Published in:Physics procedia 2012, Vol.33, p.811-818
Main Authors: Min, ZHONG, Jiguo, ZENG, Xusheng, XIE
Format: Article
Language:English
Subjects:
cylindrical projection
Levenberg-Marquardt Optimization
panorama
SIFT algorithm
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Summary:Panorama stitching algorithm based on scale invariant feature transform and Levenberg-Marquardt optimiza-tion is proposed. Mapping the source planar images to a cylind-rical surface is the first step. Then, correct matching feature pairs are detected between two images by SIFT and RANSAC algorithm. Finally the Levenberg-Marquardt algorithm is used for calculating the initial estimates of motion parameters. Experiment results show that this method is effective against the hand-held camera motion with small rotation around the optical axis, small horizontal and vertical movement.
ISSN:1875-3892
1875-3892
DOI:10.1016/j.phpro.2012.05.139