Robust Real-Time Face Detection
International Journal of Computer Vision
Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
Locating Facial Features with an Extended Active Shape Model
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part IV
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Rotation Invariant Kernels and Their Application to Shape Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Localizing parts of faces using a consensus of exemplars
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
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We present a novel method for facial feature point detection on images captured from severe uncontrolled environments based on a combination of regularized boosted classifiers and mixture of complex Bingham distributions. The complex Bingham distribution is a rotation-invariant shape representation that can handle pose, in-plane rotation and occlusion better than existing models. Additionally, we regularized a boosted classifier with a variance normalization factor to reduce false positives. Using the proposed two models, we formulate our facial features detection approach in a Bayesian framework of a maximum a-posteriori estimation. This approach allows for the inclusion of the uncertainty of the regularized boosted classifier and complex Bingham distribution. The proposed detector is tested on different datasets and results show comparable performance to the state-of-the-art with the BioID database and outperform them in uncontrolled datasets.