In the paper, an approach is proposed for the problem of consistency in depth maps estimation from
binocular stereo video sequence. The consistent method includes temporal consistency and spatial consistency to
eliminate the flickering artifacts and smooth inaccuracy in depth recovery. So the improved global stereo matching
based on graph cut and energy optimization is implemented. In temporal domain, the penalty function with coherence
factor is introduced for temporal consistency, and the factor is determined by Lucas-Kanade optical flow
weighted histogram similarity constraint (LKWHSC). In spatial domain, the joint bilateral truncated absolute
difference (JBTAD) is proposed for segmentation smoothing. The method can smooth naturally and uniformly
in low-gradient region and avoid over-smoothing as well as keep edge sharpness in high-gradient discontinuities
to realize spatial consistency. The experimental results show that the algorithm can obtain better spatial and
temporal consistent depth maps compared with the existing algorithms.
DUAN Fengfeng (段峰峰)
. Consistent Depth Maps Estimation from Binocular Stereo Video Sequence[J]. Journal of Shanghai Jiaotong University(Science), 2016
, 21(2)
: 184
-191
.
DOI: 10.1007/s12204-016-1710-7
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