基于组件颜色信息的谱方法Matting

Spectral Matting Based on Color Information of Matting Components

将组件的颜色信息引入谱方法Matting中,利用组件颜色信息,通过对比各个组件之间的颜色相似性,对组件进行分组,从而提取出前景物体.这样做有两个好处:第一是可以摒弃传统的Matting问题解决方法中利用Trimap图进行半监督学习的过程,而是利用颜色相似性信息作为约束条件或者启发式信息应用到无监督的学习过程中,降低了自动提取前景物体的盲目性.第二是获得颜色相似性信息后只需要再结合很少的前、背景提示信息,就可以使得无法确定为前景还是背景的组件进一步减少,从而完成一个半监督的学习过程,而不用像传统方法那样引入大量的用户操作才能完成半监督的学习过程.

Color information carried by the matting components in spectral matting is used in our method to solve the matting problem. By comparing the color similarity of each matting component, the matting components were separated into two groups：the foreground and the background. There are two advantages of doing so. Firstly, there is no need to use the trimap which is a necessary tool in traditional matting solving methods to accomplish the process of semi-supervised learning. Instead, the color similarity information could be used as limitation or heuristic cue in finishing the process of unsupervised learning to lower the blindness of automati- cally extracting the foreground object. Secondly,combining the color similarity information with a little user provided foreground and background cue could further reduce the number of matting components whose group have not been known yet,and thus a semi-supervised learning process which could only be done by using a lot user provided cue in traditional matting solving methods could be accomplished.