Title :
Depth enhancement based on hybrid geometric hole filling strategy
Author :
Lu Sheng ; King Ngi Ngan
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Hong Kong, China
Abstract :
Depth map is a crucial component in various 3D applications. However, current available depth maps usually suffer from low resolution, high noise, random and structural depth missing problems due to theoretical, systematic or hardware limitations. In this paper, we propose a novel method to enhance depth map with the guidance of aligned color image, tackling these problems in a whole framework, where a hybrid strategy on filling hole geometrically by the combination of joint bilateral filtering and segment-based surface structure propagation is introduced. Our experimental results prove the proposed method outperforms existing methods.
Keywords :
filtering theory; geometry; image colour analysis; image enhancement; color image; depth map enhancement; hybrid geometric hole filling strategy; hybrid strategy; joint bilateral filtering; random depth missing problems; segment-based surface structure propagation; structural depth missing problems; Depth map; depth enhancement; filtering; hole filling; segmentation;
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
DOI :
10.1109/ICIP.2013.6738448