===== SOFTWARE =====
This software contains the SMSLD implementation as proposed by Bart Verhagen ([email protected]), Radu Timofte ([email protected]) and Luc Van Gool ([email protected]). The current implementation is based on the MSLD implementation of Zhiheng Wang ([email protected]), Fuchao Wu and Zhanyi Hu.
This software contains the SMSLD descriptor. The SMSLD descriptor is a scale-invariant line segment descriptor for wide baseline matching. More info can be found in the paper about SMSLD.
All comments can be addressed to [email protected] or [email protected]
===== Requirements =====
- MATLAB
- OpenCV
- Preferably Microsoft Visual Studio
===== How to install =====
- Change the *.props files in SMSLD/opencv to point to your openCV implementation.
- Compile the SMSLD/SMSLD/SMSLD_Step2_Match/TianMatch.sln project using Visual Studio.
- Change in matlab/workspace/testbench/SMSLD/testSMSLD.m and matlab/workspace/testbench/SMSLD/benchmark.m the 'path_to_exe' variable to point to the binary created during the compilation of the TianMatch.sln project.
- Run testSMSLD using matlab. Note: default the paths are set to run the test algorithms in the directory they exist.
===== Additional notes =====
The MSLD implementation on which the SMSLD implementation is based is unstable. Rerunning the program a few times might give you the result in the end. Slightly changing a parameter may help to stabilize.
If you are using this software, please quote our associated work:
Scale-invariant Line Descriptors for Wide Baseline Matching by B. Verhagen, R. Timofte and L Van Gool. published at 2014 IEEE Winter Conference on Applications of Computer Vision (WACV) Copyright by IEEE