Physically-valid view synthesis by image interpolation

S. Seitz, C. Dyer
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引用次数: 190

Abstract

Image warping is a popular tool for smoothly transforming one image to another. "Morphing" techniques based on geometric image interpolation create compelling visual effects, but the validity of such transformations has not been established. In particular, does 2D interpolation of two views of the same scene produce a sequence of physically valid in-between views of that scene? We describe a simple image rectification procedure which guarantees that interpolation does in fact produce valid views, under generic assumptions about visibility and the projection process. Towards this end, it is first shown that two basis views are sufficient to predict the appearance of the scene within a specific range of new viewpoints. Second, it is demonstrated that interpolation of the rectified basis images produces exactly this range of views. Finally, it is shown that generating this range of views is a theoretically well-posed problem, requiring neither knowledge of camera positions nor 3D scene reconstruction. A scanline algorithm for view interpolation is presented that requires only four user-provided feature correspondences to produce valid orthographic views. The quality of the resulting images is demonstrated with interpolations of real imagery.
物理有效的图像插值视图合成
图像扭曲是一种流行的工具,可以平滑地将一个图像转换为另一个图像。基于几何图像插值的“变形”技术创造了引人注目的视觉效果,但这种转换的有效性尚未确定。特别是,同一场景的两个视图的2D插值是否会产生该场景的物理有效视图之间的序列?我们描述了一个简单的图像校正程序,该程序保证插值确实在关于可见性和投影过程的一般假设下产生有效的视图。为此,首先表明,两个基本视图足以预测场景在特定范围内的新视点的出现。其次,通过对校正后的基图像进行插值,得到了这一范围的图像。最后,研究表明,生成该范围的视图在理论上是一个适定问题,既不需要相机位置知识,也不需要3D场景重建。提出了一种视图插值扫描线算法,该算法只需要用户提供四个特征对应即可生成有效的正射影视图。通过对真实图像的插值证明了所得图像的质量。
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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