使用视差从未校准的图像查看合成

Andrea Fusiello, Stefano Caldrer, S. Ceglie, N. Mattern, Vittorio Murino
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引用次数: 18

摘要

这项工作涉及视图合成问题,即如何从不同于真实视图的所有视点的“虚拟”视点生成场景的快照。从未校准的参考图像开始,利用相对仿射结构恢复场景的几何形状。该信息用于使用平面扭曲和视差校正来推断新的视图。本文的贡献是双重的。首先,我们介绍了一种基于连接两个参考视图的极线几何复制的虚拟视点自动指定方法。其次,我们提出了一种从单个未校准图像开始生成足球场合成视图的方法。给出了实景图像的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
View synthesis from uncalibrated images using parallax
This work deals with the view synthesis problem, i.e., how to generate snapshots of a scene taken from a "virtual" viewpoint different from all the viewpoints of the real views. Starting from uncalibrated reference images, the geometry of the scene is recovered by means of the relative affine structure. This information is used to extrapolate novel views using planar warping plus parallax correction. The contributions of this paper are twofold. First we introduce an automatic method for specifying the virtual viewpoint based on the replication of the epipolar geometry linking two reference views. Second, we present a method for generating synthetic views of a soccer ground starting from a single uncalibrated image. Experimental results using real images are shown.
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