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VLBenchmark is a MATLAB suite of benchmarks for computer vision features
Matlab C C++
tag: v1.0-beta

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+benchmarks
+datasets
+helpers
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doc
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LICENSE
README
benchmarkDemo.m
clean.m
install.m
repeatabilityDemo.m
reproduceIjcv05.m
retrievalDemo.m

README

                           VLBenchmakrs
                         Version 1.0-beta
              Karel Lenc   Varun Gulshan   Andrea Vedaldi


This package implements a collection of benchmkark routines to evaluate
local feature detectors and descriptors. See
http://www.vlfeat.org/benchmarks/index.html or the bundled copy
doc/index.html for installation and usage instructions.

CHANGES

v1.0-beta  (5-10-2012) First public release.

ACKNOWLEDGMENTS
    This project was supported by the PASCAL Harvest Programme 2012.

    Part of the package is based on code of Krystian Mikolajczyk
    as available here: http://www.robots.ox.ac.uk/~vgg/research/affine/.

    The authors would like to thank Andrew Zisserman, Jiri Matas,
    Krystian Mikolajczyk, Tinne Tuytelaars, and Cordelia Schmid for
    helpful discussion and supports.

REFERENCES

[1] K. Mikolajczyk, T. Tuytelaars, C. Schmid, A. Zisserman,
    J. Matas, F. Schaffalitzky, T. Kadir, and L. Van Gool. A
    comparison of affine region detectors. IJCV, 1(65):43–72, 2005.

[2] H. Jegou, M. Douze and C. Schmid,
    Exploiting descriptor distances for precise image search,
    Research report, INRIA 2011
    http://hal.inria.fr/inria-00602325/PDF/RA-7656.pdf
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