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Matching is performed in a disparity range of 256 pixels.
Ordinarily, stereo matching algorithms consider each integral number that belongs to a disparity range.
Perri et al. [34] proposed an stereo matching circuit processing 512 × 512 images using a disparity range of 255 pixels.
The architecture is able to achieve 30 frames per second for 1 million pixel images, but only allows to search a disparity range of 128 pixels.
For 640 × 480 stereo images and a disparity range equal to 60, the proposed architecture guarantees an average error in computing the map as low as 9% with a throughput rate up to 68 frames per second.
Accurate disparity maps are computed at a rate of nearly 275 per second, for a stereo image pair with a disparity range of 80 pixels and 640 × 480 pixels spatial resolution.
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The short baseline produces a 3D scene within a limited disparity range but with visible 3D effects.
The disparity estimation can therefore be limited to a horizontal one-dimensional search with a predefined disparity range.
The NOMD presented a problem because the method does not inherently depend on a specified disparity range which is required for MDE/s calculation.
Disparity estimation is first performed on the lowest resolution using a reduced disparity range.
The design provides high frame rate (>123 fps) estimates for a large disparity range (e.g. 128 pixels), for image sizes of 640 × 480 pixels, and can be simply extended to work well over 200 fps.
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