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Proceedings Paper • new

Automatic seamless image mosaic method based on SIFT features
Author(s): Meiying Liu; Desheng Wen
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Paper Abstract

An automatic seamless image mosaic method based on SIFT features is proposed. First a scale-invariant feature extracting algorithm SIFT is used for feature extraction and matching, which gains sub-pixel precision for features extraction. Then, the transforming matrix H is computed with improved PROSAC algorithm , compared with RANSAC algorithm, the calculate efficiency is advanced, and the number of the inliers are more. Then the transforming matrix H is purify with LM algorithm. And finally image mosaic is completed with smoothing algorithm. The method implements automatically and avoids the disadvantages of traditional image mosaic method under different scale and illumination conditions. Experimental results show the image mosaic effect is wonderful and the algorithm is stable very much. It is high valuable in practice.

Paper Details

Date Published: 28 February 2017
PDF: 7 pages
Proc. SPIE 10256, Second International Conference on Photonics and Optical Engineering, 1025636 (28 February 2017); doi: 10.1117/12.2257792
Show Author Affiliations
Meiying Liu, Xi'an Institute of Optics and Precision Mechanics (China)
Univ. of Chinese Academy of Sciences (China)
Desheng Wen, Xi'an Institute of Optics and Precision Mechanics (China)


Published in SPIE Proceedings Vol. 10256:
Second International Conference on Photonics and Optical Engineering
Chunmin Zhang; Anand Asundi, Editor(s)

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