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首页> 外文期刊>Pattern Analysis and Machine Intelligence, IEEE Transactions on >Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera
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Robust Bilayer Segmentation and Motion/Depth Estimation with a Handheld Camera

机译：手持摄像机的稳健双层分割和运动/深度估计

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摘要

Extracting high-quality dynamic foreground layers from a video sequence is a challenging problem due to the coupling of color, motion, and occlusion. Many approaches assume that the background scene is static or undergoes the planar perspective transformation. In this paper, we relax these restrictions and present a comprehensive system for accurately computing object motion, layer, and depth information. A novel algorithm that combines different clues to extract the foreground layer is proposed, where a voting-like scheme robust to outliers is employed in optimization. The system is capable of handling difficult examples in which the background is nonplanar and the camera freely moves during video capturing. Our work finds several applications, such as high-quality view interpolation and video editing.
机译：由于颜色，运动和遮挡的耦合，从视频序列中提取高质量的动态前景层是一个具有挑战性的问题。许多方法都假定背景场景是静态的，或者经过了平面透视变换。在本文中，我们放宽了这些限制，并提出了一个用于精确计算对象运动，层和深度信息的综合系统。提出了一种结合不同线索提取前景层的新算法，该算法对异常值具有鲁棒性。该系统能够处理背景不平坦且摄像头在视频捕获期间自由移动的困难示例。我们的工作发现了多种应用，例如高质量的视图插值和视频编辑。

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