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The neighbouring pixel disparities can also be incorporated by using more sophisticated matching techniques, such as that used in SGM.
Although this conversion is not linear, most studies prefer to using pixel disparities when conducting visual discomfort modeling to simplify algorithm design [7, 13 16, 25].
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We will also use pixel disparity-based features.
They implemented semi-global mapping at 640 × 480 30 fps with 128 pixel disparity range.
In (21), if the left pixel disparity is equal to the pixel disparity with the disparity shift in the right image, these two paired pixels are treated as the correct correspondence.
Subsequently thresholding C t to allow only high values results in a depth image of reliable pixel disparity.
So we use a centimeter-to-pixel ratio, λ, that is, a ratio of CCD size to image resolution, to convert physical disparity to pixel disparity (7).
If the left pixel disparity finds a matched disparity with a shift of disparity plus a range of − d 0 ≤ σ ≤ d 0 in the right image, the erroneous pixel will be marked as mismatched pixel with 255.
The proposed reconfigurable hardware architectures of the AWDE and AWDE-IR algorithms enable handling 60 frames per second on a Virtex-5 FPGA at a 1024×768 XGA video resolution for a 128 pixel disparity range.
Gehrig et al. [9] presented a low-power FPGA implementation of semi-global disparity matching that is able to process 640 × 400 resolution at 25 fps with a maximum of 128 pixel disparity.
After applying our proposed procedure, two important parameters, namely, (a) baseline length (obtained via stereo calibration) and (b) pixel disparity of the vertical axis (easily obtained from a paralleled cylindrical image pair obtained by rectification), can be used in Eq. 12 to calculate metric scene measurements for robot tasks.
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