A Multi-view Video Correction Algorithm Based on Region Segmentation and Tracking
一种基于区域分割与跟踪的多视点视频校正算法

In order to solve non-consistence color appearance between different viewpoints,a multi-view video correction algorithm based on region classification and tracking is proposed.Color statistics in each region can be adequtely characterized by a Gaussian Mixture Model and Expectation-Maximum is used to refine model parameters.Then accurate segmentation image can be obtained by adaptive clustering and probability smoothness operation.Global correction can be achieved by the local mapping relation between the best similar regions in reference image and current viewpoint image.Finally video tracking technique is performed to correct multi-view video.The experimental results show that the proposed algorithm can effectively eliminate the influence of color over-saturation or color region mixture, and achieve good correction result.