Paper Title:
Image Mosaics Algorithm Based on PSO and SIFT
  Abstract

A stable image mosaics algorithm based on PSO and SIFT is proposed in this paper. It adopts SIFT operator to extract corner point feature and finishes gray cross correlation matching, most false matches are eliminated by transcendental knowledge and constraint, then the transform matrix initial value between matches in two images is calculated, the optimal value of this matrix is acquired by PSO, finally, the image mosaics with no gap is accomplished. The experiment results prove the validity and practicability of the proposed method.

  Info
Periodical
Advanced Materials Research (Volumes 225-226)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
150-153
DOI
10.4028/www.scientific.net/AMR.225-226.150
Citation
H. W. Gao, D. Li, F. G. Chen, "Image Mosaics Algorithm Based on PSO and SIFT", Advanced Materials Research, Vols. 225-226, pp. 150-153, 2011
Online since
April 2011
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Price
$32.00
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