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Detection of image transformation for reduced error in 2-D reconstruction

机译:检测图像变换以减少二维重建中的误差

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摘要

In building 2-D images, the selection of appropriate homographies plays a crucial role in reducing the error and in registering the images accurately. In this paper, we demonstrate a method for selecting the appropriate homography for building the panoramic image based on information extracted from the images themselves. It is shown that using homographies from the appropriate subgroup, the undesirable distortions can be reduced which improves the quality of the panormic image. We tested our method both in synthetic and real world images.
机译:在构建二维图像时,选择适当的单应性在减少错误和准确配准图像方面起着至关重要的作用。在本文中,我们演示了一种基于从图像本身提取的信息来选择适当的单应性以构建全景图像的方法。结果表明,使用来自适当子组的单应性,可以减少不良的失真,从而改善全景图像的质量。我们在合成和真实世界的图像中测试了我们的方法。

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