一种基于运动和纹理特征的深度图提取方法

A Depth Map Extraction Method Based on Motion and Texture Features

2D至3D的立体转换技术可以提供大量的3D立体视频内容,从而解决3D立体视频内容不足的问题.而2D到3D转换技术中关键的一步是怎样提取出质量较好的深度图.提出一种基于运动和纹理特征相结合的深度图提取方法.为了估计深度图,首先将前景和背景分离,然后分别进行基于运动的前景深度提取和基于纹理特征的背景深度提取,最后再将二者有效融合得到最终深度图.实验结果显示,使用本文提出的方法可以得到满足需求的深度图.

The technology used to converse 2D to 3D can solve the problem of insufficiency of 3D stereoscopic videos because it is able to provide a huge number of videos of this kind by conversing 2D videos to 3D videos. As to such conversion, the key is to extract depth maps of high quality. In this connection, this paper puts forward a method for depth map extraction by integrating the characteristics of motion and texture. To estimate depth maps, foreground , nd background are firstly separated, and then foreground deptb map is extracted based on motion, and background depth map based on texture characteristics. The final depth map is obtained by combining the two maps effectively. The results of the experiments show that depth maps that meet demands can be obtained by using the method proposed in this paper.