LBenchmarks is a MATLAB framework for testing image feature detectors and descriptors. The latest version can be downloaded here.
If you use this project in your work, please cite it as:
K. Lenc, V. Gulshan, and A. Vedaldi, VLBenchmarks,
http://www.vlfeat.org/benchmarks/, 2012. BibTeX
The authors would like to thank Andrew Zisserman, Jiri Matas, Krystian Mikolajczyk, Tinne Tuytelaars, and Cordelia Schmid for helpful discussion and supports.
VLBechmarks is a MATLAB framework to evaluate feature detector and descriptors automatically. Benchmarking your own features is as simple as writing a single wrapper class. Then VLBenchmarks takes care of downloading the required benchmarking data from the Internet and running the evaluation(s). The framework ships with wrappers for a number of publicly available features to enable comparing to them easily. VLBenchmarks has a number of functionalities, such as caching of intermediate results, that allow running benchmarks efficiently.
The current version of VLBechmarks implements:
- The feature extractor repeatability of .
- The descriptor matching score of .
- A new retrieval-based test based on the retrieval method of .
The code is distributed under the permissive MIT license.
- (7/10/2012) Initial release.