• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Regional Linear Warping for Image Stitching with Dominant Edge Extraction

Vol. 7, No.10, October 29, 2013
10.3837/tiis.2013.10.008, Download Paper (Free):

Abstract

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.


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Cite this article

[IEEE Style]
Jisung Yoo, Sung Soo Hwang, Seong Dae Kim, Myung Seok Ki and Jihun Cha, "Regional Linear Warping for Image Stitching with Dominant Edge Extraction," KSII Transactions on Internet and Information Systems, vol. 7, no. 10, pp. 2464-2478, 2013. DOI: 10.3837/tiis.2013.10.008

[ACM Style]
Yoo, J., Hwang, S. S., Kim, S. D., Ki, M. S., and Cha, J. 2013. Regional Linear Warping for Image Stitching with Dominant Edge Extraction. KSII Transactions on Internet and Information Systems, 7, 10, (2013), 2464-2478. DOI: 10.3837/tiis.2013.10.008