Fast and high-quality virtual view synthesis from multi-view plus depth videos

被引:0
|
作者
Li Yao
Yingdong Han
Xiaomin Li
机构
[1] Southeast University,College of Computer Science and Engineering
[2] Ministry of Education,Key Laboratory of Computer Network and Information Integration ( Southeast University )
来源
关键词
View synthesis; Artifacts removal; Depth-aided inpainting; GPU acceleration;
D O I
暂无
中图分类号
学科分类号
摘要
Depth image based rendering (DIBR) is an effective method for virtual view synthesis from Multi-view Plus Depth(MVD) video. Synthetic images, however, often contain ghost effect and some holes of varying sizes. This paper uses color correction of reference views, and combines depth-based image fusion with direct color image fusion to decrease the ghost effect. Meanwhile, the cracks are filled using depth filtering and inverse warping. What’s more, the image depth-aided inpainting with GPU acceleration is used to fill the remaining big disocclusions. Experimental results show that our proposed method improved the quality of virtual view synthetic images and reduced the processing time sharply.
引用
收藏
页码:19325 / 19340
页数:15
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