联合视图三角剖分的图像插值

M. Lhuillier, Long Quan
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引用次数: 67

摘要

通过插值预先存储的图像或视图变形来创建新的视图在视觉仿真中有许多应用。本文提出了一种自动插值两幅图像的新方法,该方法解决了由于缺乏深度信息像素匹配和可见性处理而导致的两个最困难的变形问题。我们首先描述了一种基于区域增长的准密集匹配算法,该算法具有匹配传播的最佳优先策略。然后,我们描述了一种基于局部几何约束的平面匹配块的鲁棒构造。之后,我们引入了一种新的表示,联合视图三角测量,用于两幅图像中的可见和半遮挡斑块,以在创建新视图时处理它们的可见性。最后,我们在实际图像对上演示了这些技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image interpolation by joint view triangulation
Creating novel views by interpolating prestored images or view morphing has many applications in visual simulation. We present in this paper a new method of automatically interpolating two images which tackles two most difficult problems of morphing due to the lack of depth informational pixel matching and visibility handling. We first describe a quasi-dense matching algorithm based on region growing with the best first strategy for match propagation. Then, we describe a robust construction of matched planar patches using local geometric constraints encoded by a homography. After that we introduce a novel representation, joint view triangulation, for visible and half-occluded patches in two images to handle their visibility during the creation of new view. Finally we demonstrate these techniques on real image pairs.
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