From: Real-time stereo vision system using adaptive weight cost aggregation approach
 | Tsukuba | Venus | Teddy | Cones | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
 | Nonocc | All | Disc | Nonocc | All | Disc | Nonocc | All | Disc | Nonocc | All | Disc |
Jin et al. [45] | 9.97 | 11.56 | 20.29 | 3.59 | 5.27 | 36.82 | 12.5 | 21.5 | 30.57 | 7.34 | 17.58 | 21.01 |
(FPGA) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Darabiha et al. [41] | Â | 19.59 | 37.62 | Â | 10.51 | 31.52 | Â | Â | Â | Â | Â | Â |
(FPGA) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Ambrosch et al. [44] | 12.1 | 13.4 | 28.2 | 4.06 | 4.86 | 25.9 | 12.3 | 19.7 | 31.3 | 6.91 | 14 | 19.2 |
(FPGA) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Banz et al. [52] | 6.8 | Â | Â | 4.1 | Â | Â | 13.3 | Â | Â | 4.1 | Â | Â |
(FPGA) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Veksler et al. [5] | 1.99 | 2.84 | 9.96 | 1.41 | 2.10 | 7.74 | 15.9 | 23.9 | 27.1 | 10.0 | 18.3 | 18.9 |
(CPU) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Grauer-Gray et al. [29] | 3.37 | 5.34 | 13.6 | 1.12 | 2.06 | 14.1 | 12.2 | 19.0 | 27.2 | 6.29 | 14.2 | 16.4 |
(GPU) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Gong et al. [30] | 1.36 | 3.39 | 7.25 | 2.35 | 3.48 | 12.2 | 9.82 | 16.9 | 19.5 | 12.9 | 19.9 | 19.7 |
(GPU) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Yang et al. [31] | 1.49 | 3.40 | 7.87 | 0.77 | 1.90 | 9.00 | 8.72 | 13.2 | 17.2 | 4.61 | 11.6 | 12.4 |
(GPU) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Adapt. Weights [1] | 1.38 | 1.85 | 6.90 | 0.71 | 1.19 | 6.13 | 7.88 | 13.3 | 18.6 | 3.97 | 9.79 | 8.26 |
(original) | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â | Â |
Our proposed | 3.73 | 5.65 | 10.3 | 1.59 | 3.46 | 10.4 | 13.5 | 20.6 | 20.9 | 10.8 | 18.2 | 19.0 |