DocumentCode
3278316
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
fYear
2013
fDate
15-18 Sept. 2013
Firstpage
2173
Lastpage
2176
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location
Melbourne, VIC
Type
conf
DOI
10.1109/ICIP.2013.6738448
Filename
6738448
Link To Document