Fastest CPU implementation of the LATCH 512-bit binary feature descriptor for computer vision (upright)
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.gitignore First commit! Sep 13, 2016
Makefile Added Linux Makefile. Sep 15, 2016 Major SSE+AVX overhaul, speed boost. Oct 7, 2016
ULATCH.h Fixed compatibility issue. Oct 30, 2016
main.cpp Major SSE+AVX overhaul, speed boost. Oct 7, 2016
test.jpg First commit! Sep 13, 2016

Fastest CPU implementation of an UPRIGHT (no rotation) LATCH 512-bit binary feature descriptor as described in the 2015 paper by Levi and Hassner:

"LATCH: Learned Arrangements of Three Patch Codes"

See also the ECCV 2016 Descriptor Workshop paper, of which I am a coauthor:

"The CUDA LATCH Binary Descriptor"

And the original LATCH project's website:

See my GitHub for this CUDA version, which is extremely fast.

Note once again that this is an UPRIGHT LATCH, a.k.a. ULATCH. A fast rotation- and scale-invariant version is also available on my GitHub.

My implementation uses multithreading, SSE2/3/4/4.1, AVX, AVX2, and many many careful optimizations to implement the algorithm as described in the paper, but at great speed. This implementation outperforms the reference implementation by 800% single-threaded or 3200% multi-threaded (!) while exactly matching the reference implementation's output and capabilities in upright mode.

All functionality is contained in the file ULATCH.h. 'main.cpp' is simply a sample test harness with example usage and performance testing.