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Journal of Electronic Imaging

Local facet approximation for image stitching
Author(s): Jing Li; Shiming Lai; Yu Liu; Zhengming Wang; Maojun Zhang
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Paper Abstract

Image stitching aims at eliminating multiview parallax and generating a seamless panorama given a set of input images. This paper proposes a local adaptive stitching method, which could achieve both accurate and robust image alignments across the whole panorama. A transformation estimation model is introduced by approximating the scene as a combination of neighboring facets. Then, the local adaptive stitching field is constructed using a series of linear systems of the facet parameters, which enables the parallax handling in three-dimensional space. We also provide a concise but effective global projectivity preserving technique that smoothly varies the transformations from local adaptive to global planar. The proposed model is capable of stitching both normal images and fisheye images. The efficiency of our method is quantitatively demonstrated in the comparative experiments on several challenging cases.

Paper Details

Date Published: 26 January 2018
PDF: 11 pages
J. Electron. Imag. 27(1) 013011 doi: 10.1117/1.JEI.27.1.013011
Published in: Journal of Electronic Imaging Volume 27, Issue 1
Show Author Affiliations
Jing Li, National Univ. of Defense Technology (China)
Shiming Lai, National Univ. of Defense Technology (China)
Yu Liu, National Univ. of Defense Technology (China)
Zhengming Wang, National Univ. of Defense Technology (China)
Maojun Zhang, National Univ. of Defense Technology (China)


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