Title :
A Novel High-Order Statistics Map Based Method for Depth Map Generation of Static Scene
Author :
Yudong Guan ; Ke Du ; Fengjing Shen ; Wei Zhou
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
Considering the increasing need of the contents of 3D video, it is significant to do some research in 2D-to-3D conversion. The depth map is necessary for this processing. In this paper, we propose an effective method to estimate the depth information of the low depth field images of static scenes. Firstly, construct a high-order statistics (HOS) map, which represents the high-frequency components of the input image. Then, conduct image segmentation to partition the image into different regions. Finally, assign the depth information to the regions and get a depth map.
Keywords :
higher order statistics; image representation; image segmentation; natural scenes; 2D-to-3D conversion; 3D video contents; HOS map; depth information assignment; depth information estimation; depth map generation; high-frequency component representation; high-order statistics map-based method; image partitioning; image regions; input image segmentation; low-depth field images; static scenes; Data mining; Estimation; Frequency measurement; Image edge detection; Image segmentation; TV; Three-dimensional displays; HOS map; depth map; segmentation;
Conference_Titel :
Image and Graphics (ICIG), 2013 Seventh International Conference on
Conference_Location :
Qingdao
DOI :
10.1109/ICIG.2013.125
