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• W3105304426 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." @default.
• W3105304426 created "2020-11-23" @default.
• W3105304426 creator A5006500088 @default.
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• W3105304426 date "2020-01-01" @default.
• W3105304426 modified "2023-09-30" @default.
• W3105304426 title "Single-Perspective Warps in Natural Image Stitching" @default.
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• W3105304426 doi "https://doi.org/10.1109/tip.2019.2934344" @default.
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• W3105304426 hasPublicationYear "2020" @default.
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