Insanely fast CUDA LATCH: fully scale- and rotation-invariant 512-bit binary descriptor for computer vision
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Kareem Omar
Kareem Omar Slight performance boos
t via intermediate float stage.
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README.md

Fastest implementation of the fully scale- and rotation-invariant LATCH 512-bit binary feature descriptor as described in the 2015 paper by Levi and Hassner:

"LATCH: Learned Arrangements of Three Patch Codes" http://arxiv.org/abs/1501.03719

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

"The CUDA LATCH Binary Descriptor" http://arxiv.org/abs/1609.03986

And the original LATCH project's website: http://www.openu.ac.il/home/hassner/projects/LATCH/

This implementation is insanely fast, matching or beating the much simpler ORB descriptor despite outputting twice as many bits AND being a superior descriptor.

A key insight responsible for much of the performance of this laboriously crafted CUDA kernel is due to Christopher Parker (https://github.com/csp256), to whom I am extremely grateful.

CUDA CC 3.0 or higher is required.

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