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 captu...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.展开更多
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)the Major Innovation Project of Shanghai Municipal Education Commission
文摘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.
