Depth estimation for hand-held light field cameras under low light conditions
Journal
2014 International Conference on 3D Imaging, IC3D 2014 - Proceedings
Date Issued
2014
Author(s)
Abstract
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.
Type
conference paper