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Content-Preserving Image Stitching With Piecewise Rectangular Boundary Constraints

机译:分段矩形边界约束的内容保留图像拼接

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This article proposes an approach to content-preserving image stitching with regular boundary constraints, which aims to stitch multiple images to generate a panoramic image with piecewise rectangular boundaries. Existing methods treat image stitching and rectangling as two separate steps, which may result in suboptimal results as the stitching process is not aware of the further warping needs for rectangling. We address these limitations by formulating image stitching with regular boundaries in a unified optimization framework. Starting from the initial stitching result produced by traditional warping-based optimization, we obtain the irregular boundary from the warped meshes by polygon Boolean operations which robustly handle arbitrary mesh compositions. By analyzing the irregular boundary, we construct a piecewise rectangular boundary. Based on this, we further incorporate line and regular boundary preservation constraints into the image stitching framework, and conduct iterative optimizations to obtain an optimal piecewise rectangular boundary. Thus we can make the boundary of the stitching result as close as possible to a rectangle, while reducing unwanted distortions. We further extend our method to video stitching, by integrating the temporal coherence into the optimization. Experiments show that our method efficiently produces visually pleasing panoramas with regular boundaries and unnoticeable distortions.
机译:本文提出了一种与常规边界约束的内容保留图像缝合的方法,该限制旨在针对多个图像来生成具有分段矩形边界的全景图像。现有方法将图像拼接和矩形视为两个单独的步骤,这可能导致诸如缝合过程的次优效果不了解矩形的进一步翘曲需求。通过在统一优化框架中制定具有常规边界的图像拼接来解决这些限制。从传统的基于翘曲优化产生的初始缝合结果开始,我们通过多边形布尔操作从翘曲网格获得不规则的边界,这是鲁棒地处理任意网格组合物的多边形布尔操作。通过分析不规则边界,我们构建一个分段矩形边界。基于此,我们进一步将线路和常规边界保存约束纳入图像拼接框架,并进行迭代优化以获得最佳分段矩形边界。因此,我们可以使缝合结果的边界尽可能接近矩形,同时减少不希望的扭曲。通过将时间相干性集成到优化,我们进一步将我们的方法扩展到录像。实验表明,我们的方法有效地生产具有常规边界和不可疑虑的扭曲的视觉上令人愉悦的全景。

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