SkillAgentSearch skills...

LATCH

Fastest CPU implementation of the LATCH 512-bit binary feature descriptor; fully scale- and rotation-invariant

Install / Use

/learn @komrad36/LATCH
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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/

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

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.

If you do not have AVX2, uncomment the '#define NO_AVX_PLEASE' in LATCH.h to route the code through SSE isntructions only. NOTE THAT THIS IS ABOUT 50% SLOWER. A processor with full AVX2 support is highly recommended.

All functionality is contained in the file LATCH.h. This file is simply a sample test harness with example usage and performance testing.

View on GitHub
GitHub Stars36
CategoryDevelopment
Updated10mo ago
Forks13

Languages

C++

Security Score

82/100

Audited on May 29, 2025

No findings