首页 | 本学科首页   官方微博 | 高级检索  
     

INPAINTING ALGORITHM FOR KINECT DEPTH MAP BASED ON FOREGROUND SEGMENTATION
作者姓名:Zhao Bing  An Ping  Liu Chao  Yan Jichen  Li Chunhua  Zhang Zhaoyang
基金项目:Supported by the Key Project of National Natural Science Foundation of China (Nos. 60832003 and 61172096), major Project of Shanghai Science and Technology Committee (No. 10510500500), and the Major Innovation Project of Shanghai Municipal Education Commission.
摘    要:The depth information of the scene camera, and depth extraction is a key technology indicates the distance between the object and the in 3D video system. The emergence of Kinect makes the high resolution depth map capturing possible. However, the depth map captured by Kinect can not be directly used due to the existing holes and noises, which needs to be repaired. We propose a texture combined inpainting algorithm in this paper. Firstly, the foreground is segmented combined with the color characteristics of the texture image to repair the foreground of the depth map. Secondly, region growing is used to determine the match region of the hole in the depth map, and to accurately position the match region according to the texture information. Then the match region is weighted to fill the hole. Finally, a Gaussian filter is used to remove the noise in the depth map. Experimental results show that the proposed method can effectively repair the holes existing in the original depth map and get an accurate and smooth depth map, which can be used to render a virtual image with good quality.

关 键 词:Stereo video  Depth map inpainting  Kinect
本文献已被 CNKI 维普 SpringerLink 等数据库收录!
点击此处可从《电子科学学刊(英文版)》浏览原始摘要信息
点击此处可从《电子科学学刊(英文版)》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号