期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：5
页码：87-92
DOI：10.14257/ijsip.2015.8.5.09
出版社：SERSC
摘要：As the Microsoft's Kinect sensor can generate a real-time dense depth map with relatively commercial available, it is widely used in depth map capturing. However, there are some artifacts like holes, instability of the raw input data, which seriously affect the application. To solve this problem, in this paper, we propose a novel depth map refinement method based on by GMM and CS theory which enable the kinect sensor generate a dense depth map, the background large holes are filled without blurring, and the edges of the objects are sharpened, median filter is used to remove noise. Experiments on captured indoor data demonstrate the effectiveness of the method especially in the edge area and occlusion area that our method can obtain better results
