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中文摘要：
提出一种视差信息辅助的街景视频修补方法，首先通过视差图像的分割检测出视频帧中的待修补区域和参考区域，然后同样基于视差信息建立两者的位置对应关系．在具体修补过程中，按照一种摄像机运动相关的修补顺序，采用渐进迭代的策略对整段视频进行修补，最后得到较满意的效果．由于视差信息代表图像之间像素级的位置对应关系，因此该方法的修补效果不受限于场景的复杂度．同时实验证明文中方法能完成较大面积遮挡区域的修补．
英文摘要：
A disparities assisted streetscape video inpainting method is proposed. Occlusions in the video are detected and the positional relationship between target region and reference region is built according to the disparities. A camera motion associated filling order as well as a progressive repairing strategy is applied in the proposed method. Because the disparity is a kind of pixel-wise positional relationship between images, the effectiveness of the proposed method is not related with the complexity of the scenes. Furthermore, the experimental results show that the proposed method has the capability to remove occlusions with lager area.
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同项目期刊论文
Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognit
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