Local binary patterns
part 5/7 · 11.3 KB total
──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────
Implementations
• CMV, includes the general LBP implementation Archived 2014-11-28 at the Wayback Machine and many further extensions over LBP histogram in MATLAB.
• Python mahotas, an open source computer vision package which includes an implementation of LBPs.
• OpenCV's Cascade Classifiers support LBPs as of version 2.
• VLFeat, an open source computer vision library in C (with bindings to multiple languages including MATLAB) has an implementation.
• LBPLibrary is a collection of eleven Local Binary Patterns (LBP) algorithms developed for background subtraction problem. The algorithms were implemented in C++ based on OpenCV. A CMake file is provided and the library is compatible with Windows, Linux and Mac OS X. The library was tested successfully with OpenCV 2.4.10.
• dlib, an open source C++ library: implementation.
• scikit-image, an open source Python library. Provides a c-based python implementation for LBP
──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────