Efficient facial landmark localization using spatialcontextual AdaBoost algorithm
SC-AdaBoost uses a coarse-to-fine strategy to improve localization performance. Combine global distribution, regional shape model and local landmark attributes. Consider spatialcontextual relations among adjacent landmarks for localization accuracy. Posterior probabilities of individual landmarks are calculated at each point. Minimize empirical risk and decide the weights for the weak classifiers.
facial landmark localization sc-adaboost coarse-to-fine strategy weak classifier global detector local detector gabor wavelet haar-like feature-based boosting method