Multiperspective image stitching and regularization via hybrid structure warping

Yan Lu; Zizheng Hua; Kun Gao; Tingfa Xu

doi:10.1109/MCSE.2018.110112927

Multiperspective image stitching and regularization via hybrid structure warping

Yan Lu, Zizheng Hua, Kun Gao, Tingfa Xu

光电学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用（Scopus）

摘要

Distortions such as shape changes, ghosting, seam lines, and missing edges often occur in multiperspective image stitching. The authors describe a content-preserving image stitching and completion method based on hybrid structure warping to restrain these distortions. Experiments showed that the proposed approach significantly reduced ghosting and distortion, and when compared to existing methods, displayed a superior visual effect.

源语言	英语
页（从-至）	10-23
页数	14
期刊	Computing in Science and Engineering
卷	20
期	2
DOI	https://doi.org/10.1109/MCSE.2018.110112927
出版状态	已出版 - 1 3月 2018

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10.1109/MCSE.2018.110112927

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Lu, Y., Hua, Z., Gao, K., & Xu, T. (2018). Multiperspective image stitching and regularization via hybrid structure warping. Computing in Science and Engineering, 20(2), 10-23. https://doi.org/10.1109/MCSE.2018.110112927

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Multiperspective image stitching and regularization via hybrid structure warping

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