Constructing image panoramas using dual-homography warping

Junhong Gao, Seon Joo Kim, M. S. Brown
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引用次数: 275

Abstract

This paper describes a method to construct seamless image mosaics of a panoramic scene containing two predominate planes: a distant back plane and a ground plane that sweeps out from the camera's location. While this type of panorama can be stitched when the camera is carefully rotated about its optical center, such ideal scene capture is hard to perform correctly. Existing techniques use a single homography per image to perform alignment followed by seam cutting or image blending to hide inevitable alignments artifacts. In this paper, we demonstrate how to use two homographies per image to produce a more seamless image. Specifically, our approach blends the homographies in the alignment procedure to perform a nonlinear warping. Once the images are geometrically stitched, they are further processed to blend seams and reduce curvilinear visual artifacts due to the nonlinear warping. As demonstrated in our paper, our procedure is able to produce results for this type of scene where current state-of-the-art techniques fail.
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利用双单应性变形构造图像全景图
本文描述了一种构造全景场景无缝图像拼接的方法,该全景场景包含两个主要平面:远处的后平面和从相机位置扫出的地平面。当相机小心地围绕其光学中心旋转时,这种类型的全景可以缝合,但这种理想的场景捕捉很难正确执行。现有的技术使用每个图像的单一单应性来执行对齐,然后进行接缝切割或图像混合以隐藏不可避免的对齐伪影。在本文中,我们演示了如何使用两个同形异义字每个图像产生一个更无缝的图像。具体来说,我们的方法在对齐过程中混合了同形异构词来执行非线性翘曲。一旦图像被几何拼接,它们将被进一步处理以混合接缝,并减少由于非线性翘曲而产生的曲线视觉伪影。正如在我们的论文中所展示的,我们的程序能够为当前最先进的技术失败的这种类型的场景产生结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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