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App For Real Time Face Filtering Using Computer Vision & Pattern Recognition

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Real Time Face Filtering

Computer Vision & Pattern Recognition class project @ Koc University

In this project, we create a real-time video filter that uses face detection, face alignment algorithms, head pose estimation and 3D image rendering with high accuracy. Face detection and face alignment algorithms outputs are used to determine the rotational and translational transform of head pose. We use the cascaded regression model.

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Root Unity Project is the ‘COMP408/‘ folder.

Building Instructions

In the Source Folder run these commands:

Create build folder
$ mkdir build

Enter in to build folder
$ cd build

Enable SSE4 for speed
$ cmake .. -DUSE_SSE4_INSTRUCTIONS=ON

Enable AVX for speed
$ cmake .. -DUSE_AVX_INSTRUCTIONS=ON

Build executables
$ cmake --build . --config Release

Running

In the Source Folder run these commands:

Open unity app:
$ open ./Demo.app/

Wait and run project
$ ./build/project

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