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arXiv · 1802.04645

Single-Perspective Warps in Natural Image Stitching

Tianli Liao·Nan Li
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Abstract

Results of image stitching can be perceptually divided into single-perspective and multiple-perspective. Compared to the multiple-perspective result, the single-perspective result excels in perspective consistency but suffers from projective distortion. In this paper, we propose two single-perspective warps for natural image stitching. The first one is a parametric warp, which is a combination of the as-projective-as-possible warp and the quasi-homography warp via dual-feature. The second one is a mesh-based warp, which is determined by optimizing a total energy function that simultaneously emphasizes different characteristics of the single-perspective warp, including alignment, naturalness, distortion and saliency. A comprehensive evaluation demonstrates that the proposed warp outperforms some state-of-the-art warps, including homography, APAP, AutoStitch, SPHP and GSP.

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Tianli Liao, Nan Li. 2018-03-07. Single-Perspective Warps in Natural Image Stitching. https://doi.org/10.1109/tip.2019.2934344

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