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Table 7 Average error improvement after applying suggested post-processing, i.e. median blur filter. Post-processing significantly improved produced results. The added computation time was not significant. We performed the tests using only our proposed algorithms on the two Middlebury training sets images

From: Real-time CUDA-based stereo matching using Cyclops2 algorithm

Algorithm

Improvement on average error, %

Latency, s

TX1

TK1

Quarter resolution dataset

 MD

22.95

0.004

0.013

 RMA

12.20

0.003

0.013

 MNS1

7.41

0.005

0.015

 MNS2

15.79

0.004

0.018

 MNS3

15.79

0.004

0.011

 Average

14.59

0.004

0.014

Half resolution dataset

 MD

24.59

0.040

0.306

 RMA

16.67

0.293

 MNS4

34.21

0.036

0.307

 MNS5

10.53

0.039

0.308

 Average

25.16

0.038

0.303