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Face alignment plays an important role in facial analysis (e.g. emotion detection, face recognition). MTCNN has already extracted 5 facial landmark points. We can compare those landmark points with reference ones to construct an affine transform for face alignment. Here I use open source code from https://github.com/ZhaoJ9014/face.evoLVe.PyTorch/blob/master/align/align_trans.py
The changes are minimum:
With the above changes, I tested this feature. In my experiments, the aligned face size is 112 x 112. The accuracy gain is more than 1% in the internal celebrity dataset.