Vision and Image Processing Systems (VIPS)

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Face Expression Analysis

Affective States Computation using Affective Cues:

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Affective Cues Computation:

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Emotion (annoyance, happiness, and surprise) recognition using Active Appearance Model:

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Pupil tracking using images from IBM BlueEyes IR camera:

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New initialization algorithm for the Active Appearance Model (time - from seconds to fraction of a second):

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New reinitialization strategy and criteria applied to the Active Appearance Model when it loses feature tracking:

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Head-pose estimation:

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Improved speed (30fps) and accuracy for head affective cues:

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Face feature (eyes, eyebrows, nose, and mouth) detection using Active Appearance Model:

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Face feature tracking (movement of the features) using Active Appearance Model:

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Head nod, head shake, and head tilt using facial features (Demo 1):

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Head nod, head shake, and head tilt using facial features (Demo 2):

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Head nod and head shake detection while moving:

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Face tracking using Kalman filter:

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Face tracking using Condensation filter:

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Face tracking using Condensation filter in rotating face:

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