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we have presented a richer model for texture in the Active Appearance Models using probabilistic Principal Component Analysis (PCA). Using the proposed probabilistic model we can handle the missing values in the training set (when occlusion occurs). Then we try to adaptively update our jacobian matrix in the video sequence.

Mr Navid Mahmoudian Bidgoli
Amirkabir University of Technology

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This page is a summary of: Probabilistic principal component analysis for texture modelling of adaptive active appearance models and its application for head pose estimation, IET Computer Vision, February 2015, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-cvi.2013.0317.
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