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Human and Sheep Facial Landmarks Localisation by Triplet Interpolated Features
[article]
2015
arXiv
pre-print
In this paper we present a method for localisation of facial landmarks on human and sheep. We introduce a new feature extraction scheme called triplet-interpolated feature used at each iteration of the cascaded shape regression framework. It is able to extract features from similar semantic location given an estimated shape, even when head pose variations are large and the facial landmarks are very sparsely distributed. Furthermore, we study the impact of training data imbalance on model
arXiv:1509.04954v1
fatcat:a5kpqag7srdw7aeyhk5fsw6mkq