Depth estimation for hand-held light field cameras under low light conditions

Depth estimation is one of the new functions provided by hand-held light field cameras. However, the quality of depth estimation is very sensitive to noise, which is especially a problem for scenes under low light conditions. In this paper, we propose a depth estimation flow for light field data, wh...

Full description

Saved in:
Bibliographic Details
Main Authors: Min-Hung Chen, Ching-Fan Chiang, Yi-Chang Lu
Format: Conference Proceeding
Language:English
Subjects:
Arrays
Cameras
Correlation
denoising
Depth estimation
Estimation
Iterative methods
light field
Noise
Noise reduction
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Depth estimation is one of the new functions provided by hand-held light field cameras. However, the quality of depth estimation is very sensitive to noise, which is especially a problem for scenes under low light conditions. In this paper, we propose a depth estimation flow for light field data, which can be fully-automated and no noise characteristics are required a priori. The results of Root Mean Square Error (RMSE) and Percentage of Bad Matching Pixels (PBM) show the effectiveness of this iterative correlation-based depth estimation flow even with basic filtering functions.
ISSN:2379-1772
2379-1780
DOI:10.1109/IC3D.2014.7032578