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- W146976087 abstract "We present a simple but effective approach to estimate the asymmetry in facial expressions using range data. A face measuring system called “Cubicfacer” that equips two laser scanners and a color CCD camera measures the human faces and produces range and color texture images simultaneously. Five pre-determined facial actions are measured on each subject and 42 symmetrically distributed mapping points are then extracted from the color images of each action. Pre-selected nodes of a generic face mesh are mapped to these points using a least squares approximation method. A local approximation for facial parts is then applied iteratively and the measured range data is transformed to produce a complete wrap of the mesh. This procedure is applied for each measured facial action and the deformation obtained is analyzed with sub-meshes that correspond to forehead, eyes, mouth, cheeks and chin areas. Variance and regression analysis are performed on patch pairs on left and right halves of the meshes to estimate the asymmetry. We set a threshold value to extract the prominent patches with greater deformation variances to produce an estimation of expression asymmetry. Error estimation is further applied to analyze the mesh fitting anomalies." @default.
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- W146976087 date "2002-01-01" @default.
- W146976087 modified "2023-09-24" @default.
- W146976087 title "Three Dimensional Quantitative Evaluation of Asymmetry in Facial Expressions" @default.
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