Face recognition based on PCA
2016-08-23
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\'Eigenface\' Face Recognition System
Written by: Amir Hossein Omidvarnia
Email: aomidvar@ece.ut.ac.ir
This package implements a well-known PCA-based face recognition
method, which is called \'Eigenface\' [1].
All functions are easy to use, as they are heavy commented.
Furthermore, a sample script is included to show their usage.
In general, you should follow this order:
1. Select training and test database paths.
2. Select path of the test image.
3. Run \'CreateDatabase\' function to create 2D matrix of all training images.
4. Run \'EigenfaceCore\' function to produce basis\'s of facespace.
5. Run \'Recognition\' function to get the name of equivalent image in training database.
For your convenience, I have prepared sample training and test databases, which are parts
of \'face94\' Essex face database [2]. You just need to copy the above functions, along with
the training and
Written by: Amir Hossein Omidvarnia
Email: aomidvar@ece.ut.ac.ir
This package implements a well-known PCA-based face recognition
method, which is called \'Eigenface\' [1].
All functions are easy to use, as they are heavy commented.
Furthermore, a sample script is included to show their usage.
In general, you should follow this order:
1. Select training and test database paths.
2. Select path of the test image.
3. Run \'CreateDatabase\' function to create 2D matrix of all training images.
4. Run \'EigenfaceCore\' function to produce basis\'s of facespace.
5. Run \'Recognition\' function to get the name of equivalent image in training database.
For your convenience, I have prepared sample training and test databases, which are parts
of \'face94\' Essex face database [2]. You just need to copy the above functions, along with
the training and
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pca
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