Abstrakt
In this paper, a modification of the graph-based
depth estimation is presented. The purpose of proposed modification
is to increase the quality of estimated depth maps, reduce the
time of the estimation, and increase the temporal consistency of
depth maps. The modification is based on the image segmentation
using superpixels, therefore in the first step of the proposed
modification a segmentation of previous frames is used in the
currently processed frame in order to reduce the overall time
of the depth estimation. In the next step, a depth map from the
previous frame is used in the depth map optimization as the
initial values of a depth map estimated for the current frame.
It results in the better representation of silhouettes of objects in
depth maps and in the reduced computational complexity of the
depth estimation process. In order to evaluate the performance of
the proposed modification the authors performed the experiment
for a set of multiview test sequences that varied in their content
and an arrangement of cameras. The results of the experiments
confirmed the increase of the depth maps quality — the quality of
depth maps calculated with the proposed modification is higher
than for the unmodified depth estimation method, apart from
the number of the performed optimization cycles. Therefore,
use of the proposed modification allows to estimate a depth of
the better quality with almost 40% reduction of the estimation
time. Moreover, the temporal consistency, measured through
the reduction of the bitrate of encoded virtual views, was also
considerably increased.
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