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Hi Alberto, thanks for the detailed procedure. I use 0.3 MP laptop cam images to train, and then later recognize faces. I used the same except for the flandmark: I used eye cascade of OpenCV to detect eye positions.
I have been getting confidence/distance values coming more than 80 with LBPH face recognizer, sometimes giving incorrect recognition. Even with Tan triggs preprocessing, I dont see any improvement in the confidence, or correct recognition. Similar with the face alignment.
My query is: - have you seen substantial improvement in correct face recognition percentage with Tan-triggs and face alignment using eye position: so much as to use it for commercial applications? - The distance measures come as more than 70, is there any way to normalize, say 0-1 the distance measures, as these values seem quite dependent on the LBPH parameters.
I have not observed any improvement with Opencv eyecascade and Tan-triggs. I am looking for Clandmark windows8 build to test out with it. Will report if I see substantial improvement with that.
