Objects/Faces detection toolbox v 0.28
This toolbox provides some tools for objects/faces detection using Local Binary Patterns (and some variants) and Haar features.
Object/face detection is performed by evaluating trained models over multi-scan windows with boosting models
(such Adaboosting, FastAdaboosting and Gentleboosting) or with linear SVM models.
The main objective of FDT is to bring simple but efficient tools mainly written in C codes with a matlab interface and easy to modify.
BEFORE INSTALLATION, BE SURE TO HAVE A C COMPILER ON YOUR SYSTEM!!!!!
For windows system, recommanded compilers are MSVC/MSVC express (free)/Intel compiler
For Linux system, recommanded compilers are GCC(free)/Intel compiler
PLEASE BE SURE THAT YOU SETUP YOUR COMPILER BEFORE FDT INSTALLATION.
PLEASE LINK MEX-FILES USING BLAS/LAPACK WITH THE INTEL MKL. SOME CRASHES HAVE BEEN OBSERVED WITH THE BUILT-IN MATLAB BLAS/LAPACK LIB
Please open "readme.txt" for full details and references
Sebastien PARIS (2021). Objects/Faces Detection Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/24092-objects-faces-detection-toolbox), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Object Detection Using Features > Face Detection >
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction > Local Feature Extraction > LBP - Linear Binary Patterns >
Inspired: Face Detection
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