/Eigen

Primary LanguageC++

SLIC PCA

This project use slic superpixels as basis for two principle component analysis algorithms: Eigenfaces and Fisherfaces.

Dependencies

  • OpenCV 3.3, here.
  • Opencv_contrib, here.

Project Hierarchy

Below is the hierarchy for the repository. Files start with underscores are modified library's files, while those with double underscores are the two main project's files:

├── CMakeFiles.txt
├── __eigen.cpp
├── __eigen.hpp
├── __eigenHelpers.cpp
├── __slic.cpp
├── __view.cpp
├── _eigenframes.cpp
├── _framerec.hpp
├── _private.hpp
├── _slicAlgorithm.cpp
├── _slicAlgorithm.hpp
├── slicPrecomp.hpp
├── eigenframes.cpp
├── eiten
├── eigenfaces.cpp
├── createCsv.py
├── images.csv
├── build
│   ├── slic
│   ├── eigen
│   ├── ...
├── data
│   ├── file1.csv
│   ├── file2.csv
│   ├── ...
├── images
│   ├── person1
│   │   ├── image1
│   │   ├── image2
│   │   ├── ...
│   ├── person2
│   │   ├── image1
│   │   ├── image2
│   │   ├── ...
│   ├── ...
├── results
│   ├── superpixels_image1
│   ├── superpixels_image2
│   ├── ...
├── readme.md

Build and Run

  • Segmentation Part

Assuming that images are located in the images directory, and hierarchy is as above; you can run the project by executing the following:

cd build
cmake ..
make 

./slic

Above runs SlicO, and below runds Slic

./slic -a=0

The output will be saved into data directory, as csv files.

  • PCA Part

To run the PCA part afterward on the generated csv files, you can execute the following:

./eigen

Or for a specific face test:

./eigen -test=285

If images.csv needed to be edited, run the python command from build directory, to ensure that the hierarchy structre is the same. Example:

python ../create_csv.py ../images

AT&T Face Database

Here is the link for the AT&T face database.