Cross-Scale Cost Aggregation for Stereo Matching (CVPR 2014 extension accepted by TCSVT)

Compilation

Windows

The code is a Visual Studio 2010 project on Windows x64 platform. To build the project, you need to configure OpenCV (version 2.4.6, however, other versions are acceptable by modifying commfunc.h) on your own PC. Besides, to parse command paramters, I adopted the gflags.

Other Platforms

The code requires no platform-dependent libraries. Thus, it is easy to compile it on other platforms with OpenCV and gflags.

Usage

Since I adopted gflags, the parameters are totally changed. The following example can demonstrate how to run the original PatchMatch stereo algorithm:

--l_img_file="cones_l.png" --r_img_file="cones_r.png" --l_dis_file="cones_ld.png" --r_dis_file="cones_rd.png" --max_dis=60 --dis_scale=4 --cc_name="GRD" --use_cs=false --use_pp=false --reg_lambda=0.0

Hint: the bool flag use_cs indicates the usage of cross-scale cost aggregation; the bool flag use_pp indicates the usage of post-processing.

Citation

Citation is very important for researchers. If you find this code useful, please cite:

@inproceedings{CrossScaleStereo,
        author    = {Kang Zhang and Yuqiang Fang  and Dongbo Min and Lifeng Sun and Shiqiang Yang  and Shuicheng Yan and Qi Tian},
        title     = {Cross-Scale Cost Aggregation for Stereo Matching},
        booktitle = {CVPR},
        year     = {2014}
}

@inproceedings{CrossScaleStereo,
        author    = {Kang Zhang and Yuqiang Fang  and Dongbo Min and Lifeng Sun and Shiqiang Yang  and Shuicheng Yan},
        title     = {Cross-Scale Cost Aggregation for Stereo Matching},
        booktitle = {IEEE Transactions on Circuits and Systems for Video Technology},
        year     = {2015}
}

The PatchMatch stereo algorithm comes from the following paper:

[PM]: M. Bleyer, C. Rhemann, and C. Rother, “PatchMatch stereo - stereo matching with slanted support windows,” in BMVC, 2011.