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Hello,

I am aware that OpenCV has algorithms like Local Binary Patterns and Eigenfaces for facial detection as described here: http://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html

I understand that these algorithms compute features for the faces, and would like to exact these features.

These features are like the ones used in machine learning algorithms, not parts of the face.

Is it possible to extract features from the OpenCV facial recognition algorithms?

For example, in the link it talks about a 22-dimensional feature vector that was used once.

Thanks

Hello,

I am aware that OpenCV has algorithms like Local Binary Patterns and Eigenfaces for facial detection as described here: http://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html

I understand that these algorithms compute features for the faces, and would like to exact these features.

These features are like the ones used in machine learning algorithms, not parts of the face.

Is it possible to extract features from the OpenCV facial recognition algorithms?

For example, in the link it talks about a 22-dimensional feature vector that was used once.

Thanks

Hello,

I am aware that OpenCV has algorithms like Local Binary Patterns and Eigenfaces for facial detection as described here: http://docs.opencv.org/2.4/modules/contrib/doc/facerec/facerec_tutorial.html

I understand that these algorithms compute features for the faces, and would like to exact these features.

These features are like the ones used in machine learning algorithms, not parts of the face.

Is it possible to extract features from the OpenCV facial recognition algorithms?

For example, in the link it talks about a 22-dimensional feature vector vector that was used once.

Thanks