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Robust trimap generation based on manifold ranking
Information Sciences ( IF 8.1 ) Pub Date : 2020-01-11 , DOI: 10.1016/j.ins.2020.01.017
Jinjiang Li , Genji Yuan , Hui Fan

In this paper, we propose a simple and effective method for creating accurate trimaps based on input images. Most advanced matting algorithms require the user to provide prior information to estimate high-quality alpha masks, where the prior information is primarily in the form of trimaps. A precise trimap is one of the most important factors affecting the performance of the matting algorithm. It is a very tedious task for users to specify a large number of accurate trimaps, and it is even impractical in some applications. Based on manifold ranking, we use strokes to mark the superpixel nodes to create high-quality trimaps. The experimental results show that the method given in this paper can generate high-quality trimaps, thus ensuring the accuracy of the alpha masks that are estimated by the matting algorithm. We verify the performance of the trimaps that are created using the method given in this paper for various matting algorithms.



中文翻译:

基于流形排名的强大三图生成

在本文中,我们提出了一种简单有效的方法来基于输入图像创建准确的三图。最高级的抠图算法要求用户提供先验信息以估算高质量的Alpha蒙版,其中先验信息主要为三图形式。精确的trimap是影响消光算法性能的最重要因素之一。对于用户来说,指定大量准确的三图是一项非常繁琐的任务,在某些应用程序中甚至是不切实际的。基于流形排序,我们使用笔触标记超像素节点以创建高质量的三图。实验结果表明,本文给出的方法可以生成高质量的trimap,从而确保了通过消光算法估计的alpha蒙版的准确性。

更新日期:2020-01-11
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