Submitted by Heiko Hirschmueller.

Submission data

Full nameSemi-Global Matching (GPU) (RVC 2020 baseline submission)
DescriptionReimplementation of SGM on the GPU. Census was used as matching cost. Additionally to disparity, a confidence and error is computed for each pixel. This is included in the runtime.

This is the implementation used on-board the Roboception rc_visard stereo sensors.
Parametersp1=18
p2=32
segmentation filter=80 pixels
median filter=5x5
Publication titleStereo processing by semiglobal matching and mutual information
Publication authorsHeiko Hirschmueller
Publication venueTPAMI 2008, Volume 30(2), pp. 328-341
Publication URLhttp://ieeexplore.ieee.org/abstract/document/4359315/
Programming language(s)C++ with CUDA
HardwareGeForce GTX 980
Websitehttp://www.roboception.com
Submission creation date10 Mar, 2018
Last edited10 Mar, 2018

High-res multi-view results



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indooroutdoorbotani.boulde.bridgedoorexhibi.lectur.living.loungeobserv.old co.statueterrac.
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Low-res many-view results



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indooroutdoorlakesidesand boxstorage roomstorage room 2tunnel
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Low-res two-view results



Infoalllakes. 1llakes. 1ssand box 1lsand box 1sstora. room 1lstora. room 1sstora. room 2lstora. room 2sstora. room 2 1lstora. room 2 1sstora. room 2 2lstora. room 2 2sstora. room 3lstora. room 3stunnel 1ltunnel 1stunnel 2ltunnel 2stunnel 3ltunnel 3s
binarytwo views10.080.603.422.300.3219.416.3318.9514.6425.1424.3233.3418.7919.8612.550.250.260.220.240.340.40

SLAM results



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MethodInfo
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