关键词: 复杂场景, 点云处理, 深度信息, 谱抠图

Abstract: The problem of an object which is similar to the background texture or the boundary which is unclear in the image segmentation cannot be solved easily by the traditional video matting algorithm. In order to solve this problem, this paper proposes a real-time automatic algorithm of video matting based on information fusion of visual sensor and laser radar. The algorithm obtains the deep information from the original LIDAR point cloud data, which is used as prior knowledge to the improvement of spectral matting. It can simultaneously create a region of interest depth matting Laplacian matrix（DML）. Finally, the matting is gotten by cluster optimal iterative algorithm, and steerable filters is used to post-processing. Compared with the traditional algorithm of information fusion depth and no other information fusion algorithm, experiments in this paper show that the algorithm reduces the over-segmentation rate and improves the efficiency, and that the edge information of the matting object is more plump and smooth.

Key words: complex scenes, point cloud processing, depth information, spectral matting