spsstereo

Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation by Koichiro Yamaguchi, David McAlleste, Raquel Urtasun

SPS-Stereo: Slanted Plane Smoothing Stereo

SPS-Stereo is a dense stereo method employing a slanted plane model. It jointly estimates a superpixel segmentation, boundary labels (such as occlusion boundaries), and a dense depth estimate from a pair of stereo images.

Citation

@inproceedings{Yamaguchi14,
author = {Koichiro Yamaguchi and David McAllester and Raquel Urtasun},
title = {Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation},
booktitle = {ECCV},
year = {2014}
}

Building SPS-Stereo

1. Prerequisites
   • sudo apt install libpng++-dev
2. Building
   1. type 'cmake .'
   2. type 'make'

Usage of demo code

First, download KITTI stereo/flow dataset from KITTI Vision Benchmark Suite homepage and extract it.

Run SPS-Stereo
`> ./spsstereo left_image_1.png right_image_1.png

Outputs

• disparity.png
  Disparity image (PNG 16bit grayscale format)
  (Disparity value) = (Pixel value)/256.0

License

SPS-Stereo is licensed under the GNU General Public License Version 3 (GPLv3), see http://www.gnu.org/licenses/gpl.html.