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A new rectification scheme for uncalibrated stereo image pairs and its application to intermediate view reconstruction

机译:未校准立体图像对的新校正方案及其在中间视图重建中的应用

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摘要

In this paper, a new rectification scheme to transform the uncalibrated stereo image pair into the calibrated one is suggested and its performance is analyzed by applying this scheme to reconstruction of the intermediate views for multi-view stereoscopic display. In the proposed method, feature points are extracted from the stereo image pair through detection of the corners and similarities between each pixel of the stereo image pair. And then, using these detected feature points, moving vectors between the stereo image pair and the epipolar line is extracted. Finally, the input stereo image pair is rectified by matching the extracted epipolar line between the stereo image pair in the horizontal direction. From some experiments on synthesizing the intermediate views by using the calibrated stereo image pairs through the proposed rectification algorithm and the uncalibrated ones for three kinds of stereo image pairs; 'Man', 'Face' and 'Car', it is analyzed that PSNRs of the intermediate views reconstructed from the calibrated images are improved about 2.5 ~ 3.26 dB than those of the uncalibrated ones.
机译:本文提出了一种将未校正的立体图像对转换为已校正的立体图像的校正方案,并通过将该方案应用于多视点立体显示的中间视图的重建来分析其性能。在提出的方法中,通过检测立体图像对的每个像素之间的拐角和相似度,从立体图像对中提取特征点。然后,使用这些检测到的特征点,提取立体图像对和对极线之间的运动矢量。最后,通过在水平方向上匹配立体图像对之间的提取的对极线来对输入的立体图像对进行整流。通过一些实验,通过提出的校正算法,使用校准后的立体图像对合成中间视图;对于三种立体图像对,使用未校准后的立体图像对进行合成。分析了“人”,“脸”和“汽车”,从校正后的图像重构出的中间视图的PSNR比未校正后的中间视图的PSNR提高了约2.5〜3.26dB。

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