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Computation of Homography between a Spherical Image and a Perspective Image

机译:球形图像与透视图像之间的邻居计算

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While a spherical image has a full field of view with a low resolution with respect to observed scenes, a perspective image has a narrow field of view with a high resolution with respect to observed scenes. Therefore, a spherical image and a perspective image are complementary to each other for the field of view and resolution; a visual system consisting of a spherical image and a perspective image can not only observe the entire surrounding environment, but also focus on a specific object with high resolution. In this paper we investigate the computation of the homography between a spherical image and a perspective image. First, the conventional homography of perspective images is reformulated to the case associating a spherical image to a perspective image. Next, we explain how to carry out feature matching between a full-view image and a perspective image for the computation of the homography. Finally, the experimental results of two applications are given to show the effectiveness of our proposed method.
机译:虽然球形图像具有相对于观察场景的低分辨率具有低分辨率的完整视野,但是透视图像具有狭窄的视野,具有高分辨率的观察场景。因此,球形图像和透视图像彼此互补,用于视野和分辨率;由球面图像和透视图像组成的视觉系统不仅可以观察整个周围环境,而且还可以专注于具有高分辨率的特定对象。在本文中,我们研究了球形图像与透视图像之间的邻居的计算。首先,将传统的透视图像相同相同地重新建立与将球面图像与透视图像相关联的情况。接下来,我们解释了如何在全视图图像和透视图像之间进行特征匹配,以便计算相同特征。最后,给出了两种应用的实验结果表明我们所提出的方法的有效性。

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