RGB-D depth-map restoration using smooth depth neighborhood supports
作者: Wei LiuHaoyang XueZhongjie YuQiang WuJie Yang
作者单位: 1Shanghai Jiao Tong University
2Key Laboratory of System Control and Information Processing
3University of Technology
刊名: Journal of Electronic Imaging, 2015, Vol.24 (3), pp.033015-033015
来源数据库: SPIE-the International Society for Optical Engineering
DOI: 10.1117/1.JEI.24.3.033015
关键词: depth map restorationRGB-Djoint bilateral filtersmooth depth neighborhood supports
原始语种摘要: A method to restore the depth map of an RGB-D image using smooth depth neighborhood (SDN) supports is presented. The SDN supports are computed based on the corresponding color image of the depth map. Compared with the most widely used square supports, the proposed SDN supports can well-capture the local structure of the object. Only pixels with similar depth values are allowed to be included in the support. We combine our SDN supports with the joint bilateral filter (JBF) to form the SDN-JBF and use it to restore depth maps. Experimental results show that our SDN-JBF can not only rectify the misaligned depth pixels but also preserve sharp depth discontinuities.
全文获取路径: SPIE 

  • neighborhood 邻域
  • restoration 复原
  • RGB 红绿蓝
  • depth 
  • SDN 交换数字网络
  • restore 回复
  • rectify 整流
  • preserve 保存
  • image 
  • square 正方形