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Semi-Global Matching (SGM-4, SGM-8, SGM-16)

MATLAB implementations of the Semi-Global Matching (SGM) stereo matching algorithm, featuring 4-path, 8-path and 16-path cost aggregation variants for dense disparity map estimation.

There is also a small improvement in the algorithm for better results. The improvement is that in the calculation of the total cost, the matching cost does not add up. Normally it had to add up once for each direction (4, 8 or 16 times).

Input Image

The Tsukuba stereo image that used as input.

Tsukuba Left Tsukuba Right

Output Image

The disparity maps that created at the output.

SGM-4

Semi-Global Matching 4-Path Disparity Map

SGM-8

Semi-Global Matching 8-Path Disparity Map

SGM-16

Semi-Global Matching 16-Path Disparity Map

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MATLAB implementations of the Semi-Global Matching (SGM) stereo matching algorithm, featuring 4-path, 8-path and 16-path cost aggregation variants for dense disparity map estimation.

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