How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Comparison of face matching techniques under pose variation
Proceedings of the 6th ACM international conference on Image and video retrieval
Facial feature extraction using complex dual-tree wavelet transform
Computer Vision and Image Understanding
How effective are landmarks and their geometry for face recognition?
Computer Vision and Image Understanding
Using bidimensional regression to assess face similarity
Machine Vision and Applications
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A completely automatic face recognition system is presented. The method works on color and gray level images: after having localized the face and the facial features, it determines 16 facial fiducial points, and characterizes them applying a bank of filters which extract the peculiar texture around them (jets). Recognition is realized measuring the similarity between the different jets. The system is inspired by the elastic bunch graph method, but the fiducial point localization does not require any manual setting or operator intervention.