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Automatic Facial Expression Analysis and Emotional Classification

In this thesis, a system for automatic facial expression analysis was designed and implemented. This system includes a monocular 3d head pose tracker to handle rigid movements, feature extraction based on Gabor wavelets and gradient orientation histograms, and a SVM classifier. Further more, a database with video sequences of acted and natural facial expression was compiled and tests were done, including comparisons to other systems. Thesis Supervisor: Dr. Harald Scharfenberg Title: Professor at FHD