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VLBenchmark is a MATLAB suite of benchmarks for computer vision features
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vlfeat/vlbenchmarks
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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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