Diminishing the appearance of a fence in an image is a challenging research area due to the characteristics of fences (thinness, lack of texture, etc.) and the need for occluded background restoration. In this paper, we describe a fence removal method for an image sequence captured by a user making a sweep motion, in which occluded background is potentially observed. To make use of geometric and appearance information such as consecutive images, we use two well-known approaches: structure from motion and light field rendering. Results using real image sequences show that our method can stably segment fences and preserve background details for various fence and background combinations. A new video without the fence, with frame coherence, can be successfully provided.

中文翻译：

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使用全局3D重建和可感知围栏的光场渲染从扫掠运动视频中删除围栏

由于栅栏的特性（薄，缺乏纹理等）​​以及需要进行封闭的背景修复，减少图像中栅栏的外观是一个具有挑战性的研究领域。在本文中，我们描述了针对用户进行扫掠运动捕获的图像序列的围栏去除方法，其中可能会观察到被遮挡的背景。为了利用诸如连续图像之类的几何和外观信息，我们使用两种众所周知的方法：运动和光场渲染的结构。使用真实图像序列的结果表明，我们的方法可以稳定地分割围栏并保留各种围栏和背景组合的背景细节。可以成功地提供不带栅栏且具有帧连贯性的新视频。