Mohammad T. Manzuri

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BACKGROUND AND OBJECTIVE Image registration is one of the fundamental and essential tasks for medical imaging and remote sensing applications. One of the most common challenges in this area is the presence of complex spatially varying intensity distortion in the images. The widely used similarity metrics, such as MI (Mutual Information), CC (Correlation(More)
— In this paper an accurate real-time sequence-based system for representation, recognition and analysis of low-intensity facial expressions and FAUs is presented. The feature extraction is done using facial feature point tracking and biased discriminant analysis as an efficient dimension reduction method. A novel classification scheme based on neuro-fuzyy(More)
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