Regional Linear Warping for Image Stitching with Dominant Edge Extraction

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Image stitching techniques produce an image with a wide field-of-view by aligning multiple images with a narrow field-of-view. While conventional algorithms successfully stitch images with a small parallax, structure misalignment may occur when input images contain a large parallax. This paper presents an image stitching algorithm that aligns images with a large parallax by regional linear warping. To this end, input images are first approximated as multiple planar surfaces, and different linear warping is applied to each planar surface. For approximating input images as multiple planar surfaces, the concept of dominant edges is introduced. Dominant edges are defined as conspicuous edges of lines in input images, and extracted dominant edges identify the boundaries of each planar surface. Dominant edge extraction is conducted by detecting distinct changes of local characteristics around strong edge pixels. Experimental results show that the proposed algorithm successfully stitches images with a large parallax without structure misalignment.
Publisher
KSII-KOR SOC INTERNET INFORMATION
Issue Date
2013-10
Language
English
Article Type
Article
Keywords

FEATURES; MOSAICS

Citation

KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.7, no.10, pp.2464 - 2478

ISSN
1976-7277
DOI
10.3837/tiis.2013.10.008
URI
http://hdl.handle.net/10203/210030
Appears in Collection
EE-Journal Papers(저널논문)
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