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多视绘制中的空洞填充算法

ISSN号：1003-0530
期刊名称：信号处理
时间：2013
页码：1019-1026
分类：TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
作者机构：[1]Key Laboratory of Advanced Displays and System Application, Ministry of Education, Shan.qhai 200072, China, [2]School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China, [3]College of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
相关基金：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.
相关项目：面向绘制质量的深度提取及其编码方法研究

中文摘要：

The depth information of the scene indicates the distance between the object and the camera,and depth extraction is a key technology 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.

英文摘要：

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.

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