3DVision 2017 |. International Conference on 3DVision (3DV-17) October 10-12 Qingdao China Conference Publishing Services (CPS) IEEE Xplore and CSDL 12/2017.
The paper presents an algorithm for depth map estimation
from the light field images in relatively small amount
of time, using only single thread on CPU. The proposed
method improves existing principle of line fitting in 4-
dimensional light field space. Line fitting is based on color
values comparison using kernel density estimation. Our
method utilizes result of Semi-Global Matching (SGM) with
Census transform-based matching cost as a border initialization
for line fitting. It provides a significant reduction of
computations needed to find the best depth match. With the
suggested evaluation metric we show that proposed method
is applicable for efficient depth map estimation while preserving
low computational time compared to others.