Natural image matting for multiple wide-baseline views
Natural image matting for multiple wide-baseline views
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DOI：
10.1109/icip.2010.5651610
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发表时间：
2010-12
期刊：
影响因子：
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通讯作者：
M. Sarim;A. Hilton;Jean-Yves Guillemaut;T. Takai;Hansung Kim
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文献类型：
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作者：
M. Sarim;A. Hilton;Jean-Yves Guillemaut;T. Takai;Hansung Kim
在本文中，我们提出了一种新的方法来估计由宽基线圆形摄像机拍摄的前景对象的阿尔法遮片，该方法提供了单关键帧三重映射。结合摄像机校准信息的贝叶斯推理被用来在视图中传播高置信度三重图标签。最近已经开发了使用多个视图来估计图像的阿尔法遮片的技术，但它们仅限于具有低前景变化的窄基线视图。所提出的宽基线三重映射传播对于具有相反视图的相机的视点间前景外观变化、阴影和前景/背景外观的相似性具有健壮性，从而能够使用任何最先进的图像遮片算法来实现高质量的阿尔法遮片提取。
In this paper we present a novel approach to estimate the alpha mattes of a foreground object captured by a wide-baseline circular camera rig provided a single key frame trimap. Bayesian inference coupled with camera calibration information are used to propagate high confidence trimaps labels across the views. Recent techniques have been developed to estimate an alpha matte of an image using multiple views but they are limited to narrow baseline views with low foreground variation. The proposed wide-baseline trimap propagation is robust to inter-view foreground appearance changes, shadows and similarity in foreground/background appearance for cameras with opposing views enabling high quality alpha matte extraction using any state-of-the-art image matting algorithm.