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Stereo Seam Carving a Geometrically Consistent Approach

机译:立体接缝雕刻出几何上一致的方法

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摘要

Image retargeting algorithms attempt to adapt the image content to the screen without distorting the important objects in the scene. Existing methods address retargeting of a single image. In this paper, we propose a novel method for retargeting a pair of stereo images. Naively retargeting each image independently will distort the geometric structure and hence will impair the perception of the 3D structure of the scene. We show how to extend a single image seam carving to work on a pair of images. Our method minimizes the visual distortion in each of the images as well as the depth distortion. A key property of the proposed method is that it takes into account the visibility relations between pixels in the image pair (occluded and occluding pixels). As a result, our method guarantees, as we formally prove, that the retargeted pair is geometrically consistent with a feasible 3D scene, similar to the original one. Hence, the retargeted stereo pair can be viewed on a stereoscopic display or further processed by any computer vision algorithm. We demonstrate our method on a number of challenging indoor and outdoor stereo images.
机译:图像重定位算法尝试使图像内容适应屏幕,而不会扭曲场景中的重要对象。现有方法解决单个图像的重新定向。在本文中,我们提出了一种重新定位一对立体图像的新颖方法。天真的将每个图像重新定向会扭曲几何结构,因此会削弱对场景3D结构的感知。我们展示了如何扩展单个图像接缝雕刻以在一对图像上工作。我们的方法最大程度地减少了每个图像的视觉失真以及深度失真。所提出的方法的关键特性是它考虑了图像对中的像素(被遮挡像素和被遮挡像素)之间的可见性关系。结果,正如我们正式证明的那样,我们的方法保证了重新定位的对象对在几何上与可行的3D场景一致,类似于原始场景。因此,可以在立体显示器上查看重新定向的立体声对,或通过任何计算机视觉算法对其进行进一步处理。我们在许多具有挑战性的室内和室外立体图像上演示了我们的方法。

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