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Exposure Stacks of Live Scenes with Hand-Held Cameras

机译:手持摄像机曝光的现场场景

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Many computational photography applications require the user to take multiple pictures of the same scene with different camera settings. While this allows to capture more information about the scene than what is possible with a single image, the approach is limited by the requirement that the images be perfectly registered. In a typical scenario the camera is hand-held and is therefore prone to moving during the capture of an image burst, while the scene is likely to contain moving objects. Combining such images without careful registration introduces annoying artifacts in the final image. This paper presents a method to register exposure stacks in the presence of both camera motion and scene changes. Our approach warps and modifies the content of the images in the stack to match that of a reference image. Even in the presence of large, highly non-rigid displacements we show that the images are correctly registered to the reference.
机译:许多计算摄影应用程序要求用户使用不同的相机设置来拍摄同一场景的多张照片。尽管与单个图像相比,这可以捕获有关场景的更多信息,但是该方法受到图像完美配准的要求的限制。在典型情况下,相机是手持式的,因此在捕获图像突发期间倾向于移动,而场景可能包含移动的对象。在不仔细注册的情况下组合此类图像会在最终图像中引入恼人的伪像。本文提出了一种在相机运动和场景变化同时存在的情况下对准曝光叠的方法。我们的方法会扭曲和修改堆栈中图像的内容,以使其与参考图像相匹配。即使存在大的,高度非刚性的位移,我们也显示图像已正确地对准参考。

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